{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "# Strip to slot waveguide converters\n",
        "\n",
        "A strip waveguide is the most common integrated photonic waveguide that\n",
        "consists of a higher refractive index medium surrounded by a lower\n",
        "refractive index medium. The strip waveguide supports transverse\n",
        "electric (TE) and transverse magnetic (TM) modes of light propagation.\n",
        "On the other hand, a slot waveguide is a type of optical waveguide that\n",
        "consists of two strips of higher refractive index medium separated by a\n",
        "slot of lower refractive index medium. The slot waveguide supports only\n",
        "TE mode of light propagation. The unique property of the slot waveguide\n",
        "is the ability to confine light in the low refractive index region,\n",
        "which can be used to enhance light-matter interaction.\n",
        "\n",
        "A strip-to-slot waveguide converter is a device that is used to convert\n",
        "the mode of light propagation from a strip waveguide mode to a slot\n",
        "waveguide mode. The converter is designed in such a way that the\n",
        "conversion is efficient and with minimal loss of light. The\n",
        "strip-to-slot waveguide converter is an important component in\n",
        "integrated photonic circuits, enabling the use of different waveguide\n",
        "configurations for different functionalities within the same circuit.\n",
        "\n",
        "In this notebook, we demonstrate three different converter designs and\n",
        "compare their pros and cons. The strip waveguide has a width of 400 nm.\n",
        "The slot waveguide has a width of 620 nm with a 100 nm slot width. Both\n",
        "waveguides are fabricated on 250 nm silicon on insulator with oxide top\n",
        "cladding."
      ],
      "id": "be903c48-0a41-4c49-a8bd-1eebabd515f0"
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {},
      "outputs": [],
      "source": [
        "import matplotlib.pyplot as plt\n",
        "import numpy as np\n",
        "import tidy3d as td\n",
        "import tidy3d.web as web\n",
        "from tidy3d.plugins import waveguide"
      ],
      "id": "11860c28"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## Visualizing the Strip and Slot Modes\n",
        "\n",
        "Before any simulation, we can use the [waveguide\n",
        "plugin](https://www.flexcompute.com/tidy3d/examples/notebooks/WaveguidePluginDemonstration/)\n",
        "to study the strip and slot waveguide modes.\n",
        "\n",
        "Define the simulation wavelength and frequency ranges."
      ],
      "id": "299d62e8-3c1d-415e-893b-e3866fb7a6c5"
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "metadata": {},
      "outputs": [],
      "source": [
        "lda0 = 1.55  # central wavelength\n",
        "ldas = np.linspace(1.5, 1.6, 101)  # wavelength range of interest\n",
        "freq0 = td.C_0 / lda0  # central frequency\n",
        "freqs = td.C_0 / ldas  # frequency range of interest\n",
        "fwidth = 0.5 * (np.max(freqs) - np.min(freqs))  # frequency width of the source"
      ],
      "id": "d60564da"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Define the geometric parameters of the waveguides."
      ],
      "id": "a5eb91be-3b5c-47dd-b865-fae66abc75b1"
    },
    {
      "cell_type": "code",
      "execution_count": 3,
      "metadata": {},
      "outputs": [],
      "source": [
        "h_si = 0.25  # thickness of the silicon layer\n",
        "w_strip = 0.4  # width of the strip waveguide\n",
        "w_slot = 0.62  # width of the slot waveguide\n",
        "g = 0.1  # width of the slot"
      ],
      "id": "fa0da61d"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Define material properties."
      ],
      "id": "887eb3ef-392b-4bed-9a01-3876b2e4101b"
    },
    {
      "cell_type": "code",
      "execution_count": 4,
      "metadata": {},
      "outputs": [],
      "source": [
        "n_si = 3.47  # silicon refractive index\n",
        "si = td.Medium(permittivity=n_si**2)\n",
        "\n",
        "n_sio2 = 1.44  # silicon oxide refractive index\n",
        "sio2 = td.Medium(permittivity=n_sio2**2)"
      ],
      "id": "7d5f3623"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "We use the [waveguide\n",
        "plugin](https://www.flexcompute.com/tidy3d/examples/notebooks/WaveguidePluginDemonstration/)\n",
        "to visualize the strip mode profile."
      ],
      "id": "0134281d-fa67-47b4-b088-bbddb31db320"
    },
    {
      "cell_type": "code",
      "execution_count": 5,
      "metadata": {},
      "outputs": [
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
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          }
        }
      ],
      "source": [
        "strip = waveguide.RectangularDielectric(\n",
        "    wavelength=lda0,\n",
        "    core_width=w_strip,\n",
        "    core_thickness=h_si,\n",
        "    core_medium=si,\n",
        "    clad_medium=sio2,\n",
        "    mode_spec=td.ModeSpec(num_modes=1),\n",
        ")\n",
        "\n",
        "fig, ax = plt.subplots(1, 2, figsize=(8, 4), tight_layout=True)\n",
        "\n",
        "strip.plot_structures(x=0, ax=ax[0])\n",
        "\n",
        "strip.plot_field(\"E\", val=\"abs\", ax=ax[1], robust=False)"
      ],
      "id": "d574b698"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Similarly, we visualize the slot mode profile. As expected, the mode\n",
        "concentrates inside the slot."
      ],
      "id": "0ca1631f-41d0-47b8-a82b-74f621d30ab5"
    },
    {
      "cell_type": "code",
      "execution_count": 6,
      "metadata": {},
      "outputs": [
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "image/png": 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59/1rJlyyRJLVq00Hvvved2jA8++EDdu3dXYmKiLrnkEg0ZMkQdO3bUgQMH9PnnnyslJUVhYWGa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\nYneO1Zyfn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          }
        }
      ],
      "source": [
        "slot = waveguide.RectangularDielectric(\n",
        "    wavelength=lda0,\n",
        "    core_width=((w_slot - g) / 2, (w_slot - g) / 2),\n",
        "    core_thickness=h_si,\n",
        "    core_medium=si,\n",
        "    clad_medium=sio2,\n",
        "    gap=g,\n",
        "    mode_spec=td.ModeSpec(num_modes=1),\n",
        ")\n",
        "\n",
        "fig, ax = plt.subplots(1, 2, figsize=(8, 4), tight_layout=True)\n",
        "\n",
        "slot.plot_structures(x=0, ax=ax[0])\n",
        "\n",
        "# We use 'robust=False' because we're interested in the large values at the slot\n",
        "slot.plot_field(\"E\", val=\"abs\", ax=ax[1], robust=False)"
      ],
      "id": "8610f327"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Besides visualizing the mode profiles, the [waveguide\n",
        "plugin](https://www.flexcompute.com/tidy3d/examples/notebooks/WaveguidePluginDemonstration/)\n",
        "also provides many other functionalities such as calculating the\n",
        "effective indices and mode volume to help with extensive mode analysis.\n",
        "For detail, please refer to the [waveguide plugin\n",
        "tutorial](https://www.flexcompute.com/tidy3d/examples/notebooks/WaveguidePluginDemonstration/).\n",
        "\n",
        "## Design 1\n",
        "\n",
        "The first converter design is based on symmetric multimode interference\n",
        "as introduced in\n",
        "`Qingzhong Deng, Lu Liu, Xinbai Li, and Zhiping Zhou, \"Strip-slot waveguide mode converter based on symmetric multimode interference,\" Opt. Lett. 39, 5665-5668 (2014)`[DOI:\n",
        "10.1364/OL.39.005665](https://doi.org/10.1364/OL.39.005665). In this\n",
        "design, the footprint of the converter is compact (~ 6 $\\mu m$) and it\n",
        "does not contain pointy parts that are hard to fabricate. The achievable\n",
        "coupling efficiency is above 95% in the entire C band.\n",
        "\n",
        "<img src=\"img/strip_to_slot_1.png\" width=\"400\" alt=\"Schematic of the first strip to slot converter design\">\n",
        "\n",
        "Define geometric parameters of the device."
      ],
      "id": "39750626-2b22-4100-8262-3a01e92df401"
    },
    {
      "cell_type": "code",
      "execution_count": 7,
      "metadata": {},
      "outputs": [],
      "source": [
        "L_mmi = 1.38  # length of the MMI section\n",
        "W_mmi = 1.24  # width of the MMI section\n",
        "L = 6  # length of the taper\n",
        "buffer = 5  # buffer spacing before and after the converter"
      ],
      "id": "6eaf657a"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "The converter designs in this notebook do not contain bending parts.\n",
        "Therefore, the easiest way to define the geometries is by using\n",
        "[PolySlabs](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.PolySlab.html).\n",
        "The coordinates of the vertices can be easily calculated using the\n",
        "geometric parameters defined above."
      ],
      "id": "054c7704-b6e3-48d0-979f-ad710e14933c"
    },
    {
      "cell_type": "code",
      "execution_count": 8,
      "metadata": {},
      "outputs": [
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "image/png": 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          }
        }
      ],
      "source": [
        "# define the poly slab vertices\n",
        "vertices = [\n",
        "    (-buffer, w_strip / 2),\n",
        "    (0, w_strip / 2),\n",
        "    (0, W_mmi / 2),\n",
        "    (L_mmi, W_mmi / 2),\n",
        "    (L, w_slot / 2),\n",
        "    (L + buffer, w_slot / 2),\n",
        "    (L + buffer, g / 2),\n",
        "    (L_mmi, g / 2),\n",
        "    (L_mmi, -g / 2),\n",
        "    (L + buffer, -g / 2),\n",
        "    (L + buffer, -w_slot / 2),\n",
        "    (L, -w_slot / 2),\n",
        "    (L_mmi, -W_mmi / 2),\n",
        "    (0, -W_mmi / 2),\n",
        "    (0, -w_strip / 2),\n",
        "    (-buffer, -w_strip / 2),\n",
        "]\n",
        "\n",
        "# define the converter structure\n",
        "converter = td.Structure(\n",
        "    geometry=td.PolySlab(vertices=vertices, axis=2, slab_bounds=(-h_si / 2, h_si / 2)), medium=si\n",
        ")\n",
        "\n",
        "# plot the structure for visualization\n",
        "converter.plot(z=0)\n",
        "plt.show()"
      ],
      "id": "5a4584d4"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "We will use a\n",
        "[ModeSource](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.ModeSource.html)\n",
        "to excite the strip waveguide using the fundamental TE mode. Note that\n",
        "we use `num_freqs=7` Chebyshev nodes to approximate mode frequency\n",
        "dependency in `[freq0 - 1.5 * fwidth, freq0 + 1.5 * fwidth]` for an\n",
        "accurate broadband simulation.\n",
        "\n",
        "A\n",
        "[ModeMonitor](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.ModeMonitor.html)\n",
        "is placed at the slot waveguide to measure the coupling efficiency. A\n",
        "[FieldMonitor](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.FieldMonitor.html)\n",
        "is added to the $xy$ plane to visualize the field distribution."
      ],
      "id": "413d6afa-b74c-4097-aef4-c0ef84172e9c"
    },
    {
      "cell_type": "code",
      "execution_count": 9,
      "metadata": {},
      "outputs": [],
      "source": [
        "# add a mode source to launch the TE0 mode at the strip waveguide before the converter\n",
        "mode_spec = td.ModeSpec(num_modes=1, target_neff=n_si)\n",
        "mode_source = td.ModeSource(\n",
        "    center=(-lda0, 0, 0),\n",
        "    size=(0, 4 * w_strip, 6 * h_si),\n",
        "    source_time=td.GaussianPulse(freq0=freq0, fwidth=fwidth),\n",
        "    direction=\"+\",\n",
        "    mode_spec=mode_spec,\n",
        "    mode_index=0,\n",
        "    num_freqs=7,\n",
        ")\n",
        "\n",
        "# add a mode monitor to measure transmission at the slot waveguide after the converter\n",
        "mode_monitor = td.ModeMonitor(\n",
        "    center=(L + lda0, 0, 0),\n",
        "    size=(0, 4 * w_strip, 6 * h_si),\n",
        "    freqs=freqs,\n",
        "    mode_spec=mode_spec,\n",
        "    name=\"mode\",\n",
        ")\n",
        "\n",
        "# add a field monitor to visualize field distribution at z=0\n",
        "field_monitor = td.FieldMonitor(\n",
        "    center=(0, 0, 0), size=(td.inf, td.inf, 0), freqs=[freq0], name=\"field\"\n",
        ")"
      ],
      "id": "f43aa695"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Set up the\n",
        "[Simulation](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.Simulation.html)\n",
        "with the previously defined\n",
        "[Structure](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.Structure.html),\n",
        "source, and monitors. All boundaries are set to PML to mimic infinite\n",
        "open space. Since the top and bottom claddings are silicon oxide, we\n",
        "will set the medium of the background to silicon oxide. Due to the\n",
        "symmetry of the device and the modes, we utilize `symmetry=(0,-1,1)` to\n",
        "reduce the computational cost to a quarter. For such a small simulation\n",
        "domain, we can afford to use a very fine grid."
      ],
      "id": "c7451536-4696-47fc-bdc1-bb7a070af807"
    },
    {
      "cell_type": "code",
      "execution_count": 10,
      "metadata": {},
      "outputs": [
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "image/png": 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jdfHFF6u+foj5viXw8MMPS5Jc19X+++8/6HZv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\nXePl3RoAAAAAMHox/RtyqOow9h5hHPzbN1BCjrHKnvNq1OY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          }
        }
      ],
      "source": [
        "Lx = L + 3 * lda0  # simulation domain size in x direction\n",
        "Ly = W_mmi + lda0  # simulation domain size in y direction\n",
        "Lz = 10 * h_si  # simulation domain size in z direction\n",
        "sim_size = (Lx, Ly, Lz)\n",
        "\n",
        "run_time = 1e-12  # simulation run time\n",
        "\n",
        "# construct simulation\n",
        "sim_1 = td.Simulation(\n",
        "    center=(L / 2, 0, 0),\n",
        "    size=sim_size,\n",
        "    grid_spec=td.GridSpec.auto(min_steps_per_wvl=30, wavelength=lda0),\n",
        "    structures=[converter],\n",
        "    sources=[mode_source],\n",
        "    monitors=[mode_monitor, field_monitor],\n",
        "    run_time=run_time,\n",
        "    boundary_spec=td.BoundarySpec.all_sides(boundary=td.PML()),\n",
        "    medium=sio2,\n",
        "    symmetry=(0, -1, 1),\n",
        ")\n",
        "\n",
        "# plot the simulation\n",
        "sim_1.plot(z=0)\n",
        "plt.show()"
      ],
      "id": "2274950f"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Submit the simulation to the server to run."
      ],
      "id": "f01e0b00-7630-4728-9cdb-b7448b037ed6"
    },
    {
      "cell_type": "code",
      "execution_count": 11,
      "metadata": {},
      "outputs": [
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">07:28:16 UTC </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'strip_to_slot_converter_1'</span> with resource_id          \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-1162719d-f318-41e7-abd3-7bc5c4879005'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>.  \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>View task using web UI at                                          \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-1162719d-f318-41e7-abd3-7bc5c4879005\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-1162719d-f31</span></a>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-1162719d-f318-41e7-abd3-7bc5c4879005\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">8-41e7-abd3-7bc5c4879005'</span></a>.                                         \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Task folder: <a href=\"https://tidy3d.simulation.cloud/folders/9b36e144-ddb6-41f8-8dd8-30b62b26a870\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'default'</span></a>.                                            \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"404a29bbb329495dab4a66feb9c4af41\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">07:28:18 UTC </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.053</span>. This assumes the FDTD solver runs\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>for the full simulation time; if early shutoff is reached, the     \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>billed cost can be lower. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get the  \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>billed FlexCredit cost after a simulation run.                     \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">07:28:19 UTC </span>status = queued                                                    \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>To cancel the simulation, use <span style=\"color: #008000; text-decoration-color: #008000\">'web.abort(task_id)'</span> or              \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'web.delete(task_id)'</span> or abort/delete the task in the web UI.      \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Terminating the Python script will not stop the job running on the \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>cloud.                                                             \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"c7083d50c5714b73b735971e92230a44\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">07:28:29 UTC </span>status = preprocess                                                \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
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              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
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        },
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            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">07:28:33 UTC </span>starting up solver                                                 \n",
              "</pre>"
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          }
        },
        {
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          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>running solver                                                     \n",
              "</pre>"
            ]
          }
        },
        {
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          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"17065690e6f246b08dc57b1086841edb\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
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        },
        {
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          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">07:28:37 UTC </span>early shutoff detected at <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">34</span>%, exiting.                            \n",
              "</pre>"
            ]
          }
        },
        {
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          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
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          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">07:28:38 UTC </span>status = postprocess                                               \n",
              "</pre>"
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          }
        },
        {
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          "metadata": {},
          "data": {
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              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"2dcfa2efaa964acca0f8d47ac7dc7fea\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
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          }
        },
        {
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          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">07:28:40 UTC </span>status = success                                                   \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">07:28:42 UTC </span>View simulation result at                                          \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-1162719d-f318-41e7-abd3-7bc5c4879005\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-1162719d-f31</span></a>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-1162719d-f318-41e7-abd3-7bc5c4879005\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">8-41e7-abd3-7bc5c4879005'</span></a><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">.</span>                                         \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"8d22ebcab0e94a0494d74d300b87d9ed\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
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        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">07:28:44 UTC </span>Loading results from data/simulation_data.hdf5                     \n",
              "</pre>"
            ]
          }
        }
      ],
      "source": [
        "sim_data_1 = web.run(\n",
        "    simulation=sim_1, task_name=\"strip_to_slot_converter_1\", path=\"data/simulation_data.hdf5\"\n",
        ")"
      ],
      "id": "420eecb5"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "We define two postprocessing functions `plot_conversion_efficiency` and\n",
        "`plot_field` to plot the coupling efficiency of the converter as well as\n",
        "the field distributions.\n",
        "\n",
        "For this design, we see a coupling efficiency above 95%."
      ],
      "id": "df1b1189-aef1-4213-8ab1-40bc8285e006"
    },
    {
      "cell_type": "code",
      "execution_count": 12,
      "metadata": {},
      "outputs": [
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
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          }
        }
      ],
      "source": [
        "def plot_conversion_efficiency(sim_data):\n",
        "    # extract the conversion efficiency from the mode monitor\n",
        "    amp = sim_data[\"mode\"].amps.sel(mode_index=0, direction=\"+\")\n",
        "    T = np.abs(amp) ** 2\n",
        "\n",
        "    # plot the coupling efficiency\n",
        "    plt.plot(ldas, T)\n",
        "    plt.xlim(1.5, 1.6)\n",
        "    plt.ylim(0.8, 1)\n",
        "    plt.xlabel(r\"Wavelength ($\\mu m$)\")\n",
        "    plt.ylabel(\"Coupling efficiency\")\n",
        "    plt.show()\n",
        "\n",
        "\n",
        "plot_conversion_efficiency(sim_data_1)"
      ],
      "id": "48b30c11"
    },
    {
      "cell_type": "code",
      "execution_count": 13,
      "metadata": {},
      "outputs": [
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "image/png": 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7+m/+5m/Gb0OIiIiI2qCMMWa8N4KIiGgy2LRpE2644QbccsstWLFiBTZt2oS5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\nS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COciIiIiIiIxl0YRtg8OorNMoIeacS/CavwPQ+BVqj4GpXARyUI4CuFgcGB+IZ5ZaA4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aSFLO1Me1dQ0Ij2Z30j3wf4Bco0kjbq3DL1++xSeiilkwKd8Iu9mex8KpueLsdx1v58ep9c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\nvNE+buX6/uqrr+KOO+7o+jqImtlmm20AAH/5y19Kl3npp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bBKnkF9CoTful27ByHyqiXb9HjZLmKaMUmizP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\nWYaa2oplxmQq3hZ7nS4QGXRepKOwDSNTLNNwRWG7i2PGsotlusbi3l1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UWxPCOpeUnbhOflVsIMi3Ma03pytIso86yJtrMm/D81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\npwpnBgkMgvueqanhFMOJ06l4UUHO6H50O6cAoM0+1kYmOn/c1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          }
        }
      ],
      "source": [
        "def plot_field(sim_data):\n",
        "    fig, (ax1, ax2) = plt.subplots(2, 1, figsize=(8, 8), tight_layout=True)\n",
        "\n",
        "    sim_data.plot_field(\n",
        "        field_monitor_name=\"field\",\n",
        "        field_name=\"Ey\",\n",
        "        val=\"real\",\n",
        "        f=freq0,\n",
        "        vmin=-120,\n",
        "        vmax=120,\n",
        "        ax=ax1,\n",
        "    )\n",
        "    ax1.set_aspect(\"auto\")\n",
        "\n",
        "    sim_data.plot_field(\n",
        "        field_monitor_name=\"field\", field_name=\"E\", val=\"abs\", f=freq0, vmin=0, vmax=100, ax=ax2\n",
        "    )\n",
        "    ax2.set_aspect(\"auto\")\n",
        "    plt.show()\n",
        "\n",
        "\n",
        "plot_field(sim_data_1)"
      ],
      "id": "fef36aa5"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## Design 2\n",
        "\n",
        "The second design of the strip to slot waveguide converter is based on\n",
        "symmetry linear tapers as introduced in\n",
        "`Zhechao Wang, Ning Zhu, Yongbo Tang, Lech Wosinski, Daoxin Dai, and Sailing He, \"Ultracompact low-loss coupler between strip and slot waveguides,\" Opt. Lett. 34, 1498-1500 (2009)`[DOI:\n",
        "10.1364/OL.34.001498](https://doi.org/10.1364/OL.34.001498). This design\n",
        "is compact (~ 8$\\mu m$) and can achieve nearly 100% coupling efficiency.\n",
        "However, it contains smaller features associated with the tips of the\n",
        "tapers. In practice, fabrication tolerance can degrade the device\n",
        "performance.\n",
        "\n",
        "To define the structures of this converter, again we use a similar\n",
        "approach by defining the vertices and constructing\n",
        "[PolySlabs](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.PolySlab.html).\n",
        "This device contains three separate structures, which we name\n",
        "`strip_taper`, `slot_top`, and `slot_bottom`.\n",
        "\n",
        "<img src=\"img/strip_to_slot_2.png\" width=\"400\" alt=\"Schematic of the second strip to slot converter design\">"
      ],
      "id": "732077de-4a3c-484a-a8d8-cbb712290506"
    },
    {
      "cell_type": "code",
      "execution_count": 14,
      "metadata": {},
      "outputs": [],
      "source": [
        "L_taper = 8  # length of the taper\n",
        "d = 0.06  # distance between the taper end and the strip\n",
        "\n",
        "vertices = [\n",
        "    (-buffer, w_strip / 2),\n",
        "    (0, w_strip / 2),\n",
        "    (L_taper, 0),\n",
        "    (0, -w_strip / 2),\n",
        "    (-buffer, -w_strip / 2),\n",
        "]\n",
        "\n",
        "strip_taper = td.Structure(\n",
        "    geometry=td.PolySlab(vertices=vertices, axis=2, slab_bounds=(-h_si / 2, h_si / 2)), medium=si\n",
        ")\n",
        "\n",
        "vertices = [\n",
        "    (0, w_strip / 2 + d),\n",
        "    (L_taper, w_slot / 2),\n",
        "    (L_taper + buffer, w_slot / 2),\n",
        "    (L_taper + buffer, g / 2),\n",
        "    (L_taper, g / 2),\n",
        "]\n",
        "\n",
        "slot_top = td.Structure(\n",
        "    geometry=td.PolySlab(vertices=vertices, axis=2, slab_bounds=(-h_si / 2, h_si / 2)), medium=si\n",
        ")\n",
        "\n",
        "vertices = [\n",
        "    (0, -w_strip / 2 - d),\n",
        "    (L_taper, -w_slot / 2),\n",
        "    (L_taper + buffer, -w_slot / 2),\n",
        "    (L_taper + buffer, -g / 2),\n",
        "    (L_taper, -g / 2),\n",
        "]\n",
        "\n",
        "slot_bottom = td.Structure(\n",
        "    geometry=td.PolySlab(vertices=vertices, axis=2, slab_bounds=(-h_si / 2, h_si / 2)), medium=si\n",
        ")"
      ],
      "id": "7454335a"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "The overall setup of this simulation is very similar to the previous one\n",
        "so we can reuse many previously defined objects. However, we need to\n",
        "adjust the\n",
        "[ModeMonitor](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.ModeMonitor.html)\n",
        "position, which can be done conveniently by copying the previous\n",
        "[ModeMonitor](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.ModeMonitor.html)\n",
        "and only updating its center position."
      ],
      "id": "deaf6c21-114e-479c-bf5f-1458f4479a95"
    },
    {
      "cell_type": "code",
      "execution_count": 15,
      "metadata": {},
      "outputs": [
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "image/png": 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BFIhxx5Zilppy/c5rpJHxuKoTCYUCOnemsa2+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\n/33GraBFMZaUPJdn5+fpqykTtqWWUPIweq/ETqtWCisrfay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          }
        }
      ],
      "source": [
        "# add a mode monitor to measure transmission at the output waveguide\n",
        "mode_monitor = mode_monitor.copy(update={\"center\": (L_taper + lda0, 0, 0)})\n",
        "\n",
        "Lx = L_taper + 3 * lda0  # simulation domain size in x direction\n",
        "Ly = w_slot + 1.5 * lda0  # simulation domain size in y direction\n",
        "sim_size = (Lx, Ly, Lz)\n",
        "\n",
        "# construct simulation\n",
        "sim_2 = td.Simulation(\n",
        "    center=(L_taper / 2, 0, 0),\n",
        "    size=sim_size,\n",
        "    grid_spec=td.GridSpec.auto(min_steps_per_wvl=25, wavelength=lda0),\n",
        "    structures=[strip_taper, slot_top, slot_bottom],\n",
        "    sources=[mode_source],\n",
        "    monitors=[mode_monitor, field_monitor],\n",
        "    run_time=run_time,\n",
        "    boundary_spec=td.BoundarySpec.all_sides(boundary=td.PML()),\n",
        "    medium=sio2,\n",
        "    symmetry=(0, -1, 1),\n",
        ")\n",
        "\n",
        "sim_2.plot(z=0)\n",
        "plt.show()"
      ],
      "id": "dba658e6"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Submit the simulation to the server to run."
      ],
      "id": "6f79e458-63f2-478c-a839-56b2c282f2a8"
    },
    {
      "cell_type": "code",
      "execution_count": 16,
      "metadata": {},
      "outputs": [
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">07:28:46 UTC </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'strip_to_slot_converter_2'</span> with resource_id          \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-f28bc938-b428-4d3d-88e4-e18dcf888bb7'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>.  \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>View task using web UI at                                          \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-f28bc938-b428-4d3d-88e4-e18dcf888bb7\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-f28bc938-b42</span></a>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-f28bc938-b428-4d3d-88e4-e18dcf888bb7\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">8-4d3d-88e4-e18dcf888bb7'</span></a>.                                         \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Task folder: <a href=\"https://tidy3d.simulation.cloud/folders/9b36e144-ddb6-41f8-8dd8-30b62b26a870\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'default'</span></a>.                                            \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"1f3f209ab9d240809d53002d288ce90f\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">07:28:47 UTC </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.037</span>. This assumes the FDTD solver runs\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>for the full simulation time; if early shutoff is reached, the     \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>billed cost can be lower. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get the  \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>billed FlexCredit cost after a simulation run.                     \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">07:28:48 UTC </span>status = queued                                                    \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>To cancel the simulation, use <span style=\"color: #008000; text-decoration-color: #008000\">'web.abort(task_id)'</span> or              \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'web.delete(task_id)'</span> or abort/delete the task in the web UI.      \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Terminating the Python script will not stop the job running on the \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>cloud.                                                             \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
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              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">07:29:07 UTC </span>starting up solver                                                 \n",
              "</pre>"
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              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">07:29:08 UTC </span>running solver                                                     \n",
              "</pre>"
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        {
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          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">07:29:13 UTC </span>early shutoff detected at <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">35</span>%, exiting.                            \n",
              "</pre>"
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        },
        {
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              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
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        {
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          "metadata": {},
          "data": {
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              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>status = postprocess                                               \n",
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              "{\"model_id\":\"602f63ad6b724a99b1e36c3a5ff3db14\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
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              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">07:29:16 UTC </span>status = success                                                   \n",
              "</pre>"
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        },
        {
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          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
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        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">07:29:18 UTC </span>View simulation result at                                          \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-f28bc938-b428-4d3d-88e4-e18dcf888bb7\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-f28bc938-b42</span></a>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-f28bc938-b428-4d3d-88e4-e18dcf888bb7\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">8-4d3d-88e4-e18dcf888bb7'</span></a><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">.</span>                                         \n",
              "</pre>"
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        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"802a1bade9f14aef9b394098848ad7fb\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
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        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
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          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">07:29:19 UTC </span>Loading results from data/simulation_data.hdf5                     \n",
              "</pre>"
            ]
          }
        }
      ],
      "source": [
        "sim_data_2 = web.run(\n",
        "    simulation=sim_2, task_name=\"strip_to_slot_converter_2\", path=\"data/simulation_data.hdf5\"\n",
        ")"
      ],
      "id": "84b86b7a"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Apply the same postprocessing to the simulation result. In this design,\n",
        "nearly 100% coupling efficiency can be achieved in the ideal case."
      ],
      "id": "e1cfb3d9-78ae-47dc-a7ad-7abadabe8254"
    },
    {
      "cell_type": "code",
      "execution_count": 17,
      "metadata": {},
      "outputs": [
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
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TlrDt2WefTZIMGTKkVe379++ftddeOy+//HLmzZvXnqUBAAAAQGHK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\nebPtjjvuSJKcfvrp9UFbklRUVDTbvqK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          }
        }
      ],
      "source": [
        "plot_conversion_efficiency(sim_data_2)"
      ],
      "id": "7a0d546b"
    },
    {
      "cell_type": "code",
      "execution_count": 18,
      "metadata": {},
      "outputs": [
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "image/png": 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aNRDXHd3OPWU/HSDuTp3ZW0A7nijP5K66VktEoycmUoG8W/sU9hf59sMtlwPNI/lU6W2SVtWC9J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/uc0wN26MK86gwzuWjpbYoUOHDh06dHjioCgKvOtd78JrX/tavO51r8P29vbS/V70ohfhjW98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\ns9s66aST9LZt2+xr//d//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AAzV16lT99ttvjn2sX78+6Puq/PXEmzVrFs+0kUAJD4TPnz9f1157rd5///2d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\nQJ+xkvV9WVuU9a2s48k3Bcn68h1PxhTCwWhPMsUgX7UJc11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TeU+5fLjMsJUTFls0uTCr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          }
        }
      ],
      "source": [
        "plot_field(sim_data_2)"
      ],
      "id": "f74c6628"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## Design 3\n",
        "\n",
        "The last design is based on asymmetric linear taper as introduced in\n",
        "`Ning-Ning Feng, Rong Sun, Lionel C. Kimerling, and Jurgen Michel, \"Lossless strip-to-slot waveguide transformer,\" Opt. Lett. 32, 1250-1252 (2007)`[DOI:\n",
        "10.1364/OL.32.001250](https://doi.org/10.1364/OL.32.001250). This design\n",
        "is the most straightforward while the footprint is relatively large and\n",
        "it contains small features that are difficult to fabricate. In the ideal\n",
        "case as simulated here, the coupling efficiency can also be close to\n",
        "100%.\n",
        "\n",
        "Again, the process of setting up the simulation is similar to the\n",
        "previous two. Note that for this device, we can only use\n",
        "`symmetry=(0,0,1)` since there is no symmetry in the $y$ direction.\n",
        "\n",
        "<img src=\"img/strip_to_slot_3.png\" width=\"400\" alt=\"Schematic of the third strip to slot converter design\">"
      ],
      "id": "524e598b-f73c-499c-82ff-72194a8c0023"
    },
    {
      "cell_type": "code",
      "execution_count": 19,
      "metadata": {},
      "outputs": [],
      "source": [
        "L = 20  # length of the converter region\n",
        "\n",
        "vertices = [\n",
        "    (-buffer, w_strip / 2),\n",
        "    (0, w_strip / 2),\n",
        "    (L, w_slot / 2),\n",
        "    (L + buffer, w_slot / 2),\n",
        "    (L + buffer, g / 2),\n",
        "    (L, g / 2),\n",
        "    (0, -w_strip / 2),\n",
        "    (-buffer, -w_strip / 2),\n",
        "]\n",
        "\n",
        "converter_top = td.Structure(\n",
        "    geometry=td.PolySlab(vertices=vertices, axis=2, slab_bounds=(-h_si / 2, h_si / 2)), medium=si\n",
        ")\n",
        "\n",
        "vertices = [\n",
        "    (0, -w_strip / 2 - g),\n",
        "    (L, -g / 2),\n",
        "    (L + buffer, -g / 2),\n",
        "    (L + buffer, -w_slot / 2),\n",
        "    (L, -w_slot / 2),\n",
        "]\n",
        "\n",
        "converter_bottom = td.Structure(\n",
        "    geometry=td.PolySlab(vertices=vertices, axis=2, slab_bounds=(-h_si / 2, h_si / 2)), medium=si\n",
        ")"
      ],
      "id": "fbf46f7f"
    },
    {
      "cell_type": "code",
      "execution_count": 20,
      "metadata": {},
      "outputs": [
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "image/png": 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          }
        }
      ],
      "source": [
        "mode_monitor = mode_monitor.copy(update={\"center\": (L + lda0, 0, 0)})\n",
        "\n",
        "Lx = L + 3 * lda0  # simulation domain size in x direction\n",
        "sim_size = (Lx, Ly, Lz)\n",
        "\n",
        "# construct simulation\n",
        "sim_3 = td.Simulation(\n",
        "    center=(L / 2, 0, 0),\n",
        "    size=sim_size,\n",
        "    grid_spec=td.GridSpec.auto(min_steps_per_wvl=30, wavelength=lda0),\n",
        "    structures=[converter_top, converter_bottom],\n",
        "    sources=[mode_source],\n",
        "    monitors=[mode_monitor, field_monitor],\n",
        "    run_time=run_time,\n",
        "    boundary_spec=td.BoundarySpec.all_sides(boundary=td.PML()),\n",
        "    medium=sio2,\n",
        "    symmetry=(0, 0, 1),\n",
        ")\n",
        "\n",
        "sim_3.plot(z=0)\n",
        "plt.show()"
      ],
      "id": "cf29be11"
    },
    {
      "cell_type": "code",
      "execution_count": 21,
      "metadata": {},
      "outputs": [
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">07:29:21 UTC </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'strip_to_slot_converter_3'</span> with resource_id          \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-3c202026-2f70-4543-bdae-bb30f3dec570'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>.  \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>View task using web UI at                                          \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-3c202026-2f70-4543-bdae-bb30f3dec570\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-3c202026-2f7</span></a>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-3c202026-2f70-4543-bdae-bb30f3dec570\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">0-4543-bdae-bb30f3dec570'</span></a>.                                         \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Task folder: <a href=\"https://tidy3d.simulation.cloud/folders/9b36e144-ddb6-41f8-8dd8-30b62b26a870\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'default'</span></a>.                                            \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"3bcf9904328c4ce3bc140f88d9bf0253\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">07:29:23 UTC </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.163</span>. This assumes the FDTD solver runs\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>for the full simulation time; if early shutoff is reached, the     \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>billed cost can be lower. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get the  \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>billed FlexCredit cost after a simulation run.                     \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>status = queued                                                    \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>To cancel the simulation, use <span style=\"color: #008000; text-decoration-color: #008000\">'web.abort(task_id)'</span> or              \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'web.delete(task_id)'</span> or abort/delete the task in the web UI.      \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Terminating the Python script will not stop the job running on the \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>cloud.                                                             \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"18c92ff6c3de4c628288a4e02d76b27a\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">07:29:31 UTC </span>status = preprocess                                                \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">07:29:36 UTC </span>starting up solver                                                 \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>running solver                                                     \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"f3782a4449d5497ab0005a326749f1ce\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">07:29:47 UTC </span>early shutoff detected at <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">52</span>%, exiting.                            \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>status = postprocess                                               \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"e869e8d401b7468f9fa3dbd42ccb9068\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">07:29:52 UTC </span>status = success                                                   \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">07:29:54 UTC </span>View simulation result at                                          \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-3c202026-2f70-4543-bdae-bb30f3dec570\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-3c202026-2f7</span></a>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-3c202026-2f70-4543-bdae-bb30f3dec570\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">0-4543-bdae-bb30f3dec570'</span></a><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">.</span>                                         \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"764e16128d50452cae7a2a28aba60b3f\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\n",
              "</script>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">07:29:56 UTC </span>Loading results from data/simulation_data.hdf5                     \n",
              "</pre>"
            ]
          }
        }
      ],
      "source": [
        "sim_data_3 = web.run(\n",
        "    simulation=sim_3, task_name=\"strip_to_slot_converter_3\", path=\"data/simulation_data.hdf5\"\n",
        ")"
      ],
      "id": "ec5a0bb1"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "The conversion efficiency is also close to 100%."
      ],
      "id": "8f12d64e-3160-4b1c-81ee-d39b6d1cda47"
    },
    {
      "cell_type": "code",
      "execution_count": 22,
      "metadata": {},
      "outputs": [
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
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          }
        }
      ],
      "source": [
        "plot_conversion_efficiency(sim_data_3)"
      ],
      "id": "eb508831"
    },
    {
      "cell_type": "code",
      "execution_count": 23,
      "metadata": {},
      "outputs": [
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "image/png": 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RERFNglBKqW43goiIaDoYHR3FtddeixtvvBHPPPMMRkdHMXfuXMyfPx+77bYb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\nb4RnOO+88/CrX/0Kd955Z/Q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ZTMNtL4t4dK/QWiv73m17Lx/P6VxcrdVY4K+92tm/vXyO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vbBaDnAypESSuZm2mDeQ96XkCZuMQiQD0W8Oj8052FxLFp5XFm/HsF4CZXxol7tm8shF4aQA0OQ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\nJB1reXNbJ3ihk+UkgkqtoOsQOzXbG8t2EJFKtoRwXLbDjPZCGnKqxAGh8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vwd1/ejdW969x4cK6VPzs7zZo9mpc9/RrsX3TWdzwty7D3/ypoN3rgcUeDrqEv7jvELffd4S3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\nVYbaCEd11GyVvo9UdrclnNxEXIes76KCRxFQ2mBshT6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Kt14U3wawm7aQslkvWhLBPCaE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MxaP8swXhFZqUXi0+P1erEj0ggHN/QcqUUaxpfnWc3zfDUbvprNdpBupGllvG5qEWNs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\nwQcfrFtvvVVf/OIX9eUvf1l333237rnnH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          }
        }
      ],
      "source": [
        "plot_field(sim_data_3)"
      ],
      "id": "7d363760"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## Closing Remark\n",
        "\n",
        "Different designs of the converters have their advantages and\n",
        "disadvantages. The choice of the design should be based on fabrication\n",
        "capability, constraints on device footprint, and the required coupling\n",
        "efficiency. In this notebook, we only simulated the ideal designs. To be\n",
        "more practical, simulations that consider the fabrication constraints\n",
        "need to be performed. As introduced in the referenced papers, the pointy\n",
        "tips of the tapers will have a finite width due to the finite\n",
        "fabrication resolution. Simulations with more realistic device geometry\n",
        "will be extremely useful for design and testing.\n",
        "\n",
        "In addition, the design parameters used in this notebook are optimized\n",
        "for the specific waveguide widths, thickness, and materials. For a\n",
        "different platform, the parameters need to be re-optimized, which can be\n",
        "done using the adjoint method as provided in tidy3d’s native automatic\n",
        "differentiation integration. Users follow a similar procedure as\n",
        "introduced in the\n",
        "[tutorial](https://www.flexcompute.com/tidy3d/examples/notebooks/Autograd5BoundaryGradients/)\n",
        "of optimizing a waveguide taper."
      ],
      "id": "d13fae6d-66c0-492e-80ff-004e3d3ef97e"
    }
  ],
  "nbformat": 4,
  "nbformat_minor": 5,
  "metadata": {
    "kernelspec": {
      "display_name": "Python 3",
      "language": "python",
      "name": "python3"
    }
  }
}