{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "# Inverse design optimization of a compact grating coupler\n",
        "\n",
        "**This notebook contains a long optimization. Running the entire\n",
        "notebook will cost about 10 FlexCredits and take a few hours.**\n",
        "\n",
        "The ability to couple light in and out of photonic integrated circuits\n",
        "(PICs) is crucial for developing wafer-scale systems and tests. This\n",
        "need makes designing efficient and compact grating couplers an important\n",
        "task in the PIC development cycle. In this notebook, we will demonstrate\n",
        "how to use `tidy3d` to perform the inverse design of a compact 3D\n",
        "grating coupler. We will show how to improve design fabricability by\n",
        "enhancing permittivity binarization and controlling the device’s minimum\n",
        "feature size.\n",
        "\n",
        "<img src=\"img/adjoint_6.png\" width=400 alt=\"Schematic of the grating coupler\">\n",
        "\n",
        "In addition, if you are interested in more conventional designs, we\n",
        "modeled an [uniform grating\n",
        "coupler](https://www.flexcompute.com/tidy3d/examples/notebooks/GratingCoupler/)\n",
        "and a [Focusing apodized grating\n",
        "coupler](https://www.flexcompute.com/tidy3d/examples/notebooks/FocusedApodGC/)\n",
        "in previous case studies. For more integrated photonic examples, please\n",
        "visit our [examples page](https://www.flexcompute.com/tidy3d/examples/).\n",
        "If you are new to the finite-difference time-domain (FDTD) method, we\n",
        "highly recommend going through our\n",
        "[FDTD101](https://www.flexcompute.com/fdtd101/) tutorials. FDTD\n",
        "simulations can diverge due to various reasons. If you run into any\n",
        "simulation divergence issues, please follow the steps outlined in our\n",
        "[troubleshooting\n",
        "guide](https://www.flexcompute.com/tidy3d/examples/notebooks/DivergedFDTDSimulation/)\n",
        "to resolve it.\n",
        "\n",
        "We start by importing our typical python packages, plus `autograd` and\n",
        "`tidy3d`."
      ],
      "id": "1333bede-6a0e-4d56-aa6d-aa912a1a3098"
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {},
      "outputs": [],
      "source": [
        "# Standard python imports.\n",
        "from typing import List\n",
        "\n",
        "# Import autograd to be able to use automatic differentiation.\n",
        "import autograd.numpy as anp\n",
        "import matplotlib.pylab as plt\n",
        "import numpy as np\n",
        "import scipy as sp\n",
        "\n",
        "# Import regular tidy3d.\n",
        "import tidy3d as td\n",
        "import tidy3d.web as web\n",
        "from autograd import value_and_grad"
      ],
      "id": "646f6154"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## Grating Coupler Inverse Design Configuration\n",
        "\n",
        "The grating coupler inverse design begins with a rectangular design\n",
        "region connected to a $Si$ waveguide. Throughout the optimization\n",
        "process, this initial structure evolves to convert a vertically incident\n",
        "Gaussian-like mode from an optical fiber into a guided mode and then\n",
        "funnel it into the $Si$ waveguide.\n",
        "\n",
        "We are considering a full-etched grating structure, so a $SiO_{2}$ BOX\n",
        "layer is included. To reduce backreflection, we adjusted the fiber tilt\n",
        "angle to $10^{\\circ}$ \\[[1](https://doi.org/10.1364/OE.23.022628),\n",
        "[2](https://doi.org/10.3390/mi11070666)\\].\n",
        "\n",
        "In the following block of code, you can find the parameters that can be\n",
        "modified to configure the grating coupler structure, optimization, and\n",
        "simulation setup. Special care should be devoted to the `it_per_step`\n",
        "and `opt_steps` variables below."
      ],
      "id": "7a0dbc37-1e1a-4511-8031-96520277352a"
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "metadata": {},
      "outputs": [],
      "source": [
        "# Geometric parameters.\n",
        "w_thick = 0.22  # Waveguide thickness (um).\n",
        "w_width = 0.5  # Waveguide width (um).\n",
        "w_length = 1.0  # Waveguide length (um).\n",
        "box_thick = 1.6  # SiO2 BOX thickness (um).\n",
        "spot_size = 2.5  # Spot size of the input Gaussian field regarding a lensed fiber (um).\n",
        "fiber_tilt = 10.0  # Fiber tilt angle (degrees).\n",
        "src_offset = 0.05  # Distance between the source focus and device (um).\n",
        "\n",
        "# Material.\n",
        "nSi = 3.48  # Silicon refractive index.\n",
        "nSiO2 = 1.44  # Silica refractive index.\n",
        "\n",
        "# Design region parameters.\n",
        "gc_width = 4.0  # Grating coupler width (um).\n",
        "gc_length = 4.0  # Grating coupler length (um).\n",
        "dr_grid_size = 0.02  # Grid size within the design region (um).\n",
        "\n",
        "# Inverse design setup parameters.\n",
        "#################################################################\n",
        "# Total number of iterations = opt_steps x it_per_step.\n",
        "it_per_step = 1  # Number of iterations per optimization step.\n",
        "opt_steps = 75  # Number of optimization steps.\n",
        "#################################################################\n",
        "eta = 0.50  # Threshold value for the projection filter.\n",
        "fom_name = \"fom_field\"  # Name of the monitor used to compute the objective function.\n",
        "\n",
        "# Simulation wavelength.\n",
        "wl = 1.55  # Central simulation wavelength (um).\n",
        "bw = 0.06  # Simulation bandwidth (um).\n",
        "n_wl = 61  # Number of wavelength points within the bandwidth.\n",
        "\n",
        "# feature size\n",
        "min_feature_size = 0.080\n",
        "filter_radius = min_feature_size\n",
        "\n",
        "# Buffer layer thickness\n",
        "border_buffer = 0.16\n",
        "\n",
        "# projection\n",
        "beta_min = 1.0\n",
        "beta_max = 30.0"
      ],
      "id": "ca8e86f0"
    },
    {
      "cell_type": "code",
      "execution_count": 3,
      "metadata": {},
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Total iterations = 75"
          ]
        }
      ],
      "source": [
        "total_iter = opt_steps * it_per_step\n",
        "print(f\"Total iterations = {total_iter}\")"
      ],
      "id": "371a88f6"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## Inverse Design Optimization Set Up\n",
        "\n",
        "We will calculate the values of some parameters used throughout the\n",
        "inverse design set up."
      ],
      "id": "f055e3c9-7368-42c2-82e8-4a5194ef28bb"
    },
    {
      "cell_type": "code",
      "execution_count": 4,
      "metadata": {},
      "outputs": [],
      "source": [
        "# Minimum and maximum values for the permittivities.\n",
        "eps_max = nSi**2\n",
        "eps_min = 1.0\n",
        "\n",
        "# Material definitions.\n",
        "mat_si = td.Medium(permittivity=eps_max)  # Waveguide material.\n",
        "mat_sio2 = td.Medium(permittivity=nSiO2**2)  # Substrate material.\n",
        "\n",
        "# Wavelengths and frequencies.\n",
        "wl_max = wl + bw / 2\n",
        "wl_min = wl - bw / 2\n",
        "wl_range = np.linspace(wl_min, wl_max, n_wl)\n",
        "freq = td.C_0 / wl\n",
        "freqs = td.C_0 / wl_range\n",
        "freqw = 0.5 * (freqs[0] - freqs[-1])\n",
        "run_time = 5e-12\n",
        "\n",
        "# Computational domain size.\n",
        "pml_spacing = 0.6 * wl\n",
        "size_x = pml_spacing + w_length + gc_length + 2 * border_buffer\n",
        "size_y = gc_width + 2 * pml_spacing + 2 * border_buffer\n",
        "size_z = w_thick + box_thick + 2 * pml_spacing\n",
        "center_z = size_z / 2 - pml_spacing - w_thick / 2\n",
        "eff_inf = 1000\n",
        "\n",
        "# Inverse design variables.\n",
        "src_pos_z = w_thick / 2 + src_offset\n",
        "mon_pos_x = -size_x / 2 + 0.25 * wl\n",
        "mon_w = int(3 * w_width / dr_grid_size) * dr_grid_size\n",
        "mon_h = int(5 * w_thick / dr_grid_size) * dr_grid_size\n",
        "nx = int((gc_length + 2 * border_buffer) / dr_grid_size)\n",
        "ny = int((gc_width + 2 * border_buffer) / dr_grid_size / 2.0)\n",
        "npar = int(nx * ny)\n",
        "dr_size_x = nx * dr_grid_size\n",
        "dr_size_y = 2 * ny * dr_grid_size\n",
        "dr_center_x = -size_x / 2 + w_length + dr_size_x / 2\n",
        "n_border = int(border_buffer / dr_grid_size)"
      ],
      "id": "0cb510b7"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "First, we will introduce the simulation components that do not change\n",
        "during optimization, such as the $Si$ waveguide and $SiO_{2}$ BOX layer.\n",
        "Additionally, we will include a Gaussian source to drive the\n",
        "simulations, and a mode monitor to compute the objective function."
      ],
      "id": "fcb7b944-b0ae-4de6-9dcc-ddcc5ef1cb61"
    },
    {
      "cell_type": "code",
      "execution_count": 5,
      "metadata": {},
      "outputs": [],
      "source": [
        "# Input/output waveguide.\n",
        "waveguide = td.Structure(\n",
        "    geometry=td.Box.from_bounds(\n",
        "        rmin=(-eff_inf, -w_width / 2, -w_thick / 2),\n",
        "        rmax=(-size_x / 2 + w_length, w_width / 2, w_thick / 2),\n",
        "    ),\n",
        "    medium=mat_si,\n",
        ")\n",
        "\n",
        "# SiO2 BOX layer.\n",
        "sio2_substrate = td.Structure(\n",
        "    geometry=td.Box.from_bounds(\n",
        "        rmin=(-eff_inf, -eff_inf, -w_thick / 2 - box_thick),\n",
        "        rmax=(eff_inf, eff_inf, -w_thick / 2),\n",
        "    ),\n",
        "    medium=mat_sio2,\n",
        ")\n",
        "\n",
        "# Si substrate.\n",
        "si_substrate = td.Structure(\n",
        "    geometry=td.Box.from_bounds(\n",
        "        rmin=(-eff_inf, -eff_inf, -eff_inf),\n",
        "        rmax=(eff_inf, eff_inf, -w_thick / 2 - box_thick),\n",
        "    ),\n",
        "    medium=mat_si,\n",
        ")\n",
        "\n",
        "# Gaussian source focused above the grating coupler.\n",
        "gauss_source = td.GaussianBeam(\n",
        "    center=(dr_center_x, 0, src_pos_z),\n",
        "    size=(dr_size_x - 2 * border_buffer, dr_size_y - 2 * border_buffer, 0),\n",
        "    source_time=td.GaussianPulse(freq0=freq, fwidth=freqw),\n",
        "    pol_angle=np.pi / 2,\n",
        "    angle_theta=fiber_tilt * np.pi / 180.0,\n",
        "    direction=\"-\",\n",
        "    num_freqs=7,\n",
        "    waist_radius=spot_size / 2,\n",
        ")\n",
        "\n",
        "# Monitor where we will compute the objective function from.\n",
        "mode_spec = td.ModeSpec(num_modes=1, target_neff=nSi)\n",
        "fom_monitor = td.ModeMonitor(\n",
        "    center=[mon_pos_x, 0, 0],\n",
        "    size=[0, mon_w, mon_h],\n",
        "    freqs=[freq],\n",
        "    mode_spec=mode_spec,\n",
        "    name=fom_name,\n",
        ")"
      ],
      "id": "228d8a75"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Now, we will define a random vector of initial design parameters or load\n",
        "a previously designed structure.\n",
        "\n",
        "> Note: if a previous optimization file is found, the optimizer will\n",
        "> pick up where that left off instead."
      ],
      "id": "0750dd15-fe10-426a-8c96-31b0d60af6a2"
    },
    {
      "cell_type": "code",
      "execution_count": 6,
      "metadata": {},
      "outputs": [],
      "source": [
        "init_par = np.random.uniform(0, 1, int(npar))\n",
        "init_par = sp.ndimage.gaussian_filter(init_par, 1)\n",
        "init_par = init_par.reshape((nx, ny))"
      ],
      "id": "4582937c"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "### Fabrication Constraints\n",
        "\n",
        "We will use the `tidy3d.plugins.autograd` plugin to introduce functions\n",
        "that improve device fabricability. A classical conic density filter,\n",
        "which is popular in topology optimization problems, is used to enforce a\n",
        "minimum feature size specified by the `filter_radius` variable. Next, a\n",
        "hyperbolic tangent projection function is applied to eliminate grayscale\n",
        "and obtain a binarized permittivity pattern. The `beta` parameter\n",
        "controls the sharpness of the transition in the projection function, and\n",
        "for better results, this parameter should be gradually increased\n",
        "throughout the optimization process. Finally, the design parameters are\n",
        "transformed into permittivity values. For a detailed review of these\n",
        "methods, refer to \\[[3](https://doi.org/10.1007/s00419-015-1106-4)\\].\n",
        "\n",
        "We will also introduce a buffer layer around the design region to\n",
        "enhance fabricability at the interfaces. The permittivity is enforced to\n",
        "lower values within the buffer layer, except at the output waveguide\n",
        "connection where we want a smooth transition."
      ],
      "id": "07de8d48-fb52-48e5-9018-a40b845de0df"
    },
    {
      "cell_type": "code",
      "execution_count": 7,
      "metadata": {},
      "outputs": [],
      "source": [
        "def get_eps(design_param: np.ndarray, beta: float = 1.00, binarize: bool = False) -> np.ndarray:\n",
        "    \"\"\"Returns the permittivities after applying a conic density filter on design parameters\n",
        "    to enforce fabrication constraints, followed by a binarization projection function\n",
        "    which reduces grayscale.\n",
        "    Parameters:\n",
        "        design_param: np.ndarray\n",
        "            Vector of design parameters.\n",
        "        beta: float = 1.0\n",
        "            Sharpness parameter for the projection filter.\n",
        "        binarize: bool = False\n",
        "            Enforce binarization.\n",
        "    Returns:\n",
        "        eps: np.ndarray\n",
        "            Permittivity vector.\n",
        "    \"\"\"\n",
        "\n",
        "    # Calculates the permittivities from the transformed design parameters.\n",
        "    eps = get_eps_values(design_param, beta=beta)\n",
        "    if binarize:\n",
        "        eps = anp.where(eps < (eps_min + eps_max) / 2, eps_min, eps_max)\n",
        "    else:\n",
        "        eps = anp.where(eps < eps_min, eps_min, eps)\n",
        "        eps = anp.where(eps > eps_max, eps_max, eps)\n",
        "    return eps"
      ],
      "id": "98fed507"
    },
    {
      "cell_type": "code",
      "execution_count": 8,
      "metadata": {},
      "outputs": [],
      "source": [
        "from tidy3d.plugins.autograd import make_filter_and_project, rescale\n",
        "\n",
        "filter_project = make_filter_and_project(filter_radius, dr_grid_size, padding=\"constant\")\n",
        "\n",
        "\n",
        "def interface_buffer(params):\n",
        "    \"\"\"Introduce a buffer around design to enhance fabricability at the interfaces.\"\"\"\n",
        "    mask = anp.zeros_like(params)\n",
        "    mask[0:n_border, :] = 0\n",
        "    mask[nx - n_border :, :] = 0\n",
        "    mask[:, ny - n_border :] = 0\n",
        "    mask[0:n_border, 0 : int((w_width / 2) / dr_grid_size) + 1] = 1\n",
        "\n",
        "    return params * (1 - mask) + mask\n",
        "\n",
        "\n",
        "def pre_process(params, beta):\n",
        "    \"\"\"Get the permittivity values (1, eps_wg) array as a function of the parameters (0,1)\"\"\"\n",
        "    params1 = interface_buffer(params)\n",
        "    params2 = filter_project(params1, beta=beta)\n",
        "    params3 = filter_project(params2, beta=beta)\n",
        "    return params3\n",
        "\n",
        "\n",
        "def get_eps_values(params: np.ndarray, beta: float) -> np.ndarray:\n",
        "    \"\"\"Get the relative permittivity array given the parameters.\"\"\"\n",
        "    params = pre_process(params, beta=beta)\n",
        "    eps_values = rescale(params, eps_min, eps_max)\n",
        "    return eps_values"
      ],
      "id": "28b33c7c"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "The permittivity values obtained from the design parameters are then\n",
        "used to build a\n",
        "[CustomMedium](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.CustomMedium.html).\n",
        "As we will consider symmetry about the x-axis in the simulations, only\n",
        "the upper-half part of the design region needs to be populated. A\n",
        "`Structure` built using the `CustomMedium` will be returned by the\n",
        "following function:"
      ],
      "id": "cc1c63c6-fabb-44d5-89c1-f6b418243bcc"
    },
    {
      "cell_type": "code",
      "execution_count": 9,
      "metadata": {},
      "outputs": [],
      "source": [
        "def update_design(eps, unfold: bool = False) -> List[td.Structure]:\n",
        "    \"\"\"Reflects the structure about the x-axis.\"\"\"\n",
        "    nyii = ny\n",
        "    y_min = 0\n",
        "    dr_s_y = dr_size_y / 2\n",
        "    dr_c_y = dr_s_y / 2\n",
        "    eps_val = anp.array(eps).reshape((nx, ny, 1))\n",
        "    if unfold:\n",
        "        nyii = 2 * ny\n",
        "        y_min = -dr_size_y / 2\n",
        "        dr_s_y = dr_size_y\n",
        "        dr_c_y = 0\n",
        "        eps_val = anp.concatenate((anp.fliplr(anp.copy(eps_val)), eps_val), axis=1)\n",
        "\n",
        "    # Definition of the coordinates x,y along the design region.\n",
        "    coords_x = [(dr_center_x - dr_size_x / 2) + ix * dr_grid_size for ix in range(nx)]\n",
        "    coords_y = [y_min + iy * dr_grid_size for iy in range(nyii)]\n",
        "    coords = dict(x=coords_x, y=coords_y, z=[0])\n",
        "\n",
        "    # Creation of a custom medium using the values of the design parameters.\n",
        "    permittivity = td.SpatialDataArray(eps_val, coords=coords)\n",
        "    eps_medium = td.CustomMedium(permittivity=permittivity)\n",
        "    box = td.Box(center=(dr_center_x, dr_c_y, 0), size=(dr_size_x, dr_s_y, w_thick))\n",
        "    design_structure = td.Structure(geometry=box, medium=eps_medium)\n",
        "    return [design_structure]"
      ],
      "id": "434de282"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Next, we will write a function to return the `td.Simulation` object.\n",
        "Note that we are using a `MeshOverrideStructure` to obtain a uniform\n",
        "mesh over the design region."
      ],
      "id": "1e70fa44-818d-40a6-aba5-863dfab8b5af"
    },
    {
      "cell_type": "code",
      "execution_count": 10,
      "metadata": {},
      "outputs": [],
      "source": [
        "def make_adjoint_sim(\n",
        "    design_param: np.ndarray,\n",
        "    beta: float = 1.00,\n",
        "    unfold: bool = False,\n",
        "    binarize: bool = False,\n",
        ") -> td.Simulation:\n",
        "    # Builds the design region from the design parameters.\n",
        "    eps = get_eps(design_param, beta, binarize)\n",
        "    design_structure = update_design(eps, unfold=unfold)\n",
        "\n",
        "    # Creates a uniform mesh for the design region.\n",
        "    adjoint_dr_mesh = td.MeshOverrideStructure(\n",
        "        geometry=td.Box(center=(dr_center_x, 0, 0), size=(dr_size_x, dr_size_y, w_thick)),\n",
        "        dl=[dr_grid_size, dr_grid_size, dr_grid_size],\n",
        "        enforce=True,\n",
        "    )\n",
        "\n",
        "    return td.Simulation(\n",
        "        size=[size_x, size_y, size_z],\n",
        "        center=[0, 0, -center_z],\n",
        "        grid_spec=td.GridSpec.auto(\n",
        "            wavelength=wl_max,\n",
        "            min_steps_per_wvl=15,\n",
        "            override_structures=[adjoint_dr_mesh],\n",
        "        ),\n",
        "        symmetry=(0, -1, 0),\n",
        "        structures=[waveguide, sio2_substrate, si_substrate] + design_structure,\n",
        "        sources=[gauss_source],\n",
        "        monitors=[fom_monitor],\n",
        "        run_time=run_time,\n",
        "        subpixel=True,\n",
        "    )"
      ],
      "id": "3db51d55"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Let’s visualize the simulation set up and verify if all the elements are\n",
        "in their correct places."
      ],
      "id": "10dde87e-9873-4ae2-82f2-c183dd111d27"
    },
    {
      "cell_type": "code",
      "execution_count": 11,
      "metadata": {},
      "outputs": [
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "image/png": 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lgIHKhJTav5oO4dqrVy9s3rwZb7/9NhYvXoy9e/fC7XYjOzsbvXv3xnXXXYcO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z8ek7Wxdhz7zDPPoFmzZmjVqhWAyuRrsEnVSZMmacna1157DXfccYf23P33349Ro0bhiy++wFNP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\npHSkUin09vaWbdIqOysIIWS0QGctIYQQQkh5qUWnb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/6bzWbR1dVVIcsICQ4dtoSQISEq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\nL+vD8j7Fq2xG2PZEw4cP1+GHH67Jkyfr73//u8aPH69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lGj16tILBoPr27autttpKQ4YM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\nKAnpwtrmFyadbYFAoOwuWAIAgPLmfA7iMxDQFoFtJ+LxuL7//nstW7ZMtm1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oqEg7FXIg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          }
        }
      ],
      "source": [
        "init_design = make_adjoint_sim(init_par, beta=beta_min)\n",
        "\n",
        "fig, (ax1, ax2) = plt.subplots(1, 2, tight_layout=True, figsize=(10, 10))\n",
        "init_design.plot_eps(z=0, ax=ax1)\n",
        "init_design.plot_eps(y=0, ax=ax2)\n",
        "plt.show()"
      ],
      "id": "f775e6d9"
    },
    {
      "cell_type": "code",
      "execution_count": 12,
      "metadata": {},
      "outputs": [],
      "source": [
        "from tidy3d.plugins.autograd import make_erosion_dilation_penalty\n",
        "\n",
        "erode_dilate_penalty = make_erosion_dilation_penalty(filter_radius, dr_grid_size)\n",
        "\n",
        "\n",
        "# Figure of Merit (FOM) calculation.\n",
        "def fom(sim_data: td.SimulationData) -> float:\n",
        "    \"\"\"Return the power at the mode index of interest.\"\"\"\n",
        "    output_amps = sim_data[fom_name].amps\n",
        "    amp = output_amps.sel(direction=\"-\", f=freq, mode_index=0).values\n",
        "    return anp.sum(anp.abs(amp) ** 2)\n",
        "\n",
        "\n",
        "def penalty(params, beta) -> float:\n",
        "    \"\"\"Penalty function based on amount of change in parameters after erosion and dilation.\"\"\"\n",
        "    params_processed = pre_process(params, beta=beta)\n",
        "    return erode_dilate_penalty(params_processed)\n",
        "\n",
        "\n",
        "# Objective function to be passed to the optimization algorithm.\n",
        "def obj(design_param, beta: float = 1.0, step_num: int = None, verbose: bool = False) -> float:\n",
        "    sim = make_adjoint_sim(design_param, beta)\n",
        "    task_name = \"inv_des\"\n",
        "    if step_num:\n",
        "        task_name += f\"_step_{step_num}\"\n",
        "    sim_data = web.run(sim, task_name=task_name, verbose=verbose)\n",
        "    fom_val = fom(sim_data)\n",
        "    feature_size_penalty = penalty(design_param, beta=beta)\n",
        "    J = fom_val - feature_size_penalty\n",
        "    return J\n",
        "\n",
        "\n",
        "# Function to calculate the objective function value and its\n",
        "# gradient with respect to the design parameters.\n",
        "obj_grad = value_and_grad(obj)"
      ],
      "id": "dc3ae4ed"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## Optimization\n",
        "\n",
        "We need to provide an objective function and its gradients with respect\n",
        "to the design parameters of the optimization algorithm.\n",
        "\n",
        "Our figure-of-merit (FOM) is the coupling efficiency of the incident\n",
        "power into the fundamental transverse electric mode of the $Si$\n",
        "waveguide. The optimization algorithm will call the objective function\n",
        "at each iteration step. Therefore, the objective function will create\n",
        "the adjoint simulation, run it, and return the FOM value.\n",
        "\n",
        "Next we will define the optimizer using Tidy3D’s built-in Adam helper.\n",
        "We will save the optimization progress in a `pickle` file. If that file\n",
        "is found, it will pick up the optimization from the last state.\n",
        "Otherwise, we will create a blank history."
      ],
      "id": "7a9e5fcf-aec0-4ea5-b770-c3ab7717a90e"
    },
    {
      "cell_type": "code",
      "execution_count": 13,
      "metadata": {},
      "outputs": [],
      "source": [
        "import pickle\n",
        "\n",
        "from tidy3d.plugins.autograd import adam, apply_updates\n",
        "\n",
        "# hyperparameters\n",
        "learning_rate = 0.2\n",
        "optimizer = adam(learning_rate=learning_rate)\n",
        "\n",
        "# where to store history\n",
        "history_fname = \"misc/grating_coupler_history_autograd.pkl\"\n",
        "\n",
        "\n",
        "def save_history(history_dict: dict) -> None:\n",
        "    \"\"\"Convenience function to save the history to file.\"\"\"\n",
        "    with open(history_fname, \"wb\") as file:\n",
        "        pickle.dump(history_dict, file)\n",
        "\n",
        "\n",
        "def load_history() -> dict:\n",
        "    \"\"\"Convenience method to load the history from file.\"\"\"\n",
        "    with open(history_fname, \"rb\") as file:\n",
        "        history_dict = pickle.load(file)\n",
        "    return history_dict"
      ],
      "id": "7338bbd6"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "### Checking For a Previous Optimization\n",
        "\n",
        "If `history_fname` is a valid file, the results of a previous\n",
        "optimization are loaded, then the optimization will continue from the\n",
        "last iteration step. If the optimization was completed, only the final\n",
        "structure will be simulated. The pickle file used in this notebook can\n",
        "be downloaded from our documentation\n",
        "[repo](https://github.com/flexcompute/tidy3d-notebooks/tree/develop/misc)."
      ],
      "id": "dd6f71d9-47c9-4d02-b4c3-14a51c1e30f6"
    },
    {
      "cell_type": "code",
      "execution_count": 14,
      "metadata": {},
      "outputs": [],
      "source": [
        "try:\n",
        "    history_dict = load_history()\n",
        "    opt_state = history_dict[\"opt_states\"][-1]\n",
        "    params = history_dict[\"params\"][-1]\n",
        "    num_iters_completed = len(history_dict[\"params\"])\n",
        "    print(\"Loaded optimization checkpoint from file.\")\n",
        "    print(f\"Found {num_iters_completed} iterations previously completed out of {total_iter} total.\")\n",
        "    if num_iters_completed < total_iter:\n",
        "        print(\"Will resume optimization.\")\n",
        "    else:\n",
        "        print(\"Optimization completed, will return results.\")\n",
        "\n",
        "except FileNotFoundError:\n",
        "    params = np.array(init_par)\n",
        "    opt_state = optimizer.init(params)\n",
        "    history_dict = dict(\n",
        "        values=[],\n",
        "        params=[],\n",
        "        gradients=[],\n",
        "        opt_states=[opt_state],\n",
        "        data=[],\n",
        "        beta=[],\n",
        "    )"
      ],
      "id": "010faae0"
    },
    {
      "cell_type": "code",
      "execution_count": 15,
      "metadata": {},
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "iteration = (1 / 75)\n",
            "    beta = 1.0\n",
            "    J = -9.9933e-01\n",
            "    grad_norm = 6.2433e-04\n",
            "iteration = (2 / 75)\n",
            "    beta = 1.3918918918918919\n",
            "    J = -7.9545e-01\n",
            "    grad_norm = 1.9666e-02\n",
            "iteration = (3 / 75)\n",
            "    beta = 1.7837837837837838\n",
            "    J = -7.1906e-01\n",
            "    grad_norm = 2.5287e-02\n",
            "iteration = (4 / 75)\n",
            "    beta = 2.1756756756756754\n",
            "    J = -4.0930e-01\n",
            "    grad_norm = 5.6904e-02\n",
            "iteration = (5 / 75)\n",
            "    beta = 2.5675675675675675\n",
            "    J = -2.9117e-01\n",
            "    grad_norm = 3.0868e-02\n",
            "iteration = (6 / 75)\n",
            "    beta = 2.9594594594594597\n",
            "    J = -1.6016e-01\n",
            "    grad_norm = 3.9037e-02\n",
            "iteration = (7 / 75)\n",
            "    beta = 3.3513513513513513\n",
            "    J = -1.2072e-01\n",
            "    grad_norm = 5.9508e-02\n",
            "iteration = (8 / 75)\n",
            "    beta = 3.7432432432432434\n",
            "    J = 1.6121e-02\n",
            "    grad_norm = 6.7153e-02\n",
            "iteration = (9 / 75)\n",
            "    beta = 4.135135135135135\n",
            "    J = 1.3575e-02\n",
            "    grad_norm = 6.6891e-02\n",
            "iteration = (10 / 75)\n",
            "    beta = 4.527027027027027\n",
            "    J = 6.6965e-02\n",
            "    grad_norm = 7.0524e-02\n",
            "iteration = (11 / 75)\n",
            "    beta = 4.918918918918919\n",
            "    J = 1.7953e-01\n",
            "    grad_norm = 2.6048e-02\n",
            "iteration = (12 / 75)\n",
            "    beta = 5.3108108108108105\n",
            "    J = 1.5441e-01\n",
            "    grad_norm = 4.1407e-02\n",
            "iteration = (13 / 75)\n",
            "    beta = 5.702702702702703\n",
            "    J = 1.8055e-01\n",
            "    grad_norm = 3.6656e-02\n",
            "iteration = (14 / 75)\n",
            "    beta = 6.094594594594595\n",
            "    J = 2.3402e-01\n",
            "    grad_norm = 2.2595e-02\n",
            "iteration = (15 / 75)\n",
            "    beta = 6.486486486486487\n",
            "    J = 2.5114e-01\n",
            "    grad_norm = 2.8759e-02\n",
            "iteration = (16 / 75)\n",
            "    beta = 6.878378378378379\n",
            "    J = 2.6111e-01\n",
            "    grad_norm = 4.1495e-02\n",
            "iteration = (17 / 75)\n",
            "    beta = 7.27027027027027\n",
            "    J = 3.0310e-01\n",
            "    grad_norm = 2.1364e-02\n",
            "iteration = (18 / 75)\n",
            "    beta = 7.662162162162162\n",
            "    J = 3.1200e-01\n",
            "    grad_norm = 3.4129e-02\n",
            "iteration = (19 / 75)\n",
            "    beta = 8.054054054054054\n",
            "    J = 3.2740e-01\n",
            "    grad_norm = 3.1345e-02\n",
            "iteration = (20 / 75)\n",
            "    beta = 8.445945945945946\n",
            "    J = 3.2498e-01\n",
            "    grad_norm = 4.1300e-02\n",
            "iteration = (21 / 75)\n",
            "    beta = 8.837837837837839\n",
            "    J = 3.3650e-01\n",
            "    grad_norm = 3.0833e-02\n",
            "iteration = (22 / 75)\n",
            "    beta = 9.229729729729728\n",
            "    J = 3.4804e-01\n",
            "    grad_norm = 2.1851e-02\n",
            "iteration = (23 / 75)\n",
            "    beta = 9.621621621621621\n",
            "    J = 3.4964e-01\n",
            "    grad_norm = 3.4138e-02\n",
            "iteration = (24 / 75)\n",
            "    beta = 10.013513513513514\n",
            "    J = 3.6474e-01\n",
            "    grad_norm = 9.4676e-03\n",
            "iteration = (25 / 75)\n",
            "    beta = 10.405405405405405\n",
            "    J = 3.6826e-01\n",
            "    grad_norm = 2.8591e-02\n",
            "iteration = (26 / 75)\n",
            "    beta = 10.797297297297296\n",
            "    J = 3.7986e-01\n",
            "    grad_norm = 8.3797e-03\n",
            "iteration = (27 / 75)\n",
            "    beta = 11.18918918918919\n",
            "    J = 3.8517e-01\n",
            "    grad_norm = 2.5966e-02\n",
            "iteration = (28 / 75)\n",
            "    beta = 11.58108108108108\n",
            "    J = 3.9711e-01\n",
            "    grad_norm = 9.1377e-03\n",
            "iteration = (29 / 75)\n",
            "    beta = 11.972972972972974\n",
            "    J = 4.0158e-01\n",
            "    grad_norm = 2.0298e-02\n",
            "iteration = (30 / 75)\n",
            "    beta = 12.364864864864865\n",
            "    J = 4.0621e-01\n",
            "    grad_norm = 2.8532e-02\n",
            "iteration = (31 / 75)\n",
            "    beta = 12.756756756756758\n",
            "    J = 4.1433e-01\n",
            "    grad_norm = 9.9643e-03\n",
            "iteration = (32 / 75)\n",
            "    beta = 13.148648648648647\n",
            "    J = 4.1837e-01\n",
            "    grad_norm = 2.4113e-02\n",
            "iteration = (33 / 75)\n",
            "    beta = 13.54054054054054\n",
            "    J = 4.2106e-01\n",
            "    grad_norm = 4.1026e-02\n",
            "iteration = (34 / 75)\n",
            "    beta = 13.932432432432433\n",
            "    J = 4.2410e-01\n",
            "    grad_norm = 4.8948e-02\n",
            "iteration = (35 / 75)\n",
            "    beta = 14.324324324324325\n",
            "    J = 4.2759e-01\n",
            "    grad_norm = 5.3829e-02\n",
            "iteration = (36 / 75)\n",
            "    beta = 14.716216216216216\n",
            "    J = 4.3747e-01\n",
            "    grad_norm = 2.9196e-02\n",
            "iteration = (37 / 75)\n",
            "    beta = 15.108108108108109\n",
            "    J = 4.4372e-01\n",
            "    grad_norm = 4.5076e-03\n",
            "iteration = (38 / 75)\n",
            "    beta = 15.5\n",
            "    J = 4.4739e-01\n",
            "    grad_norm = 1.6598e-02\n",
            "iteration = (39 / 75)\n",
            "    beta = 15.891891891891891\n",
            "    J = 4.5036e-01\n",
            "    grad_norm = 2.3611e-02\n",
            "iteration = (40 / 75)\n",
            "    beta = 16.283783783783782\n",
            "    J = 4.5501e-01\n",
            "    grad_norm = 2.7050e-02\n",
            "iteration = (41 / 75)\n",
            "    beta = 16.675675675675677\n",
            "    J = 4.5929e-01\n",
            "    grad_norm = 3.2635e-02\n",
            "iteration = (42 / 75)\n",
            "    beta = 17.06756756756757\n",
            "    J = 4.6368e-01\n",
            "    grad_norm = 3.3462e-02\n",
            "iteration = (43 / 75)\n",
            "    beta = 17.459459459459456\n",
            "    J = 4.6786e-01\n",
            "    grad_norm = 2.9439e-02\n",
            "iteration = (44 / 75)\n",
            "    beta = 17.85135135135135\n",
            "    J = 4.7214e-01\n",
            "    grad_norm = 2.5622e-02\n",
            "iteration = (45 / 75)\n",
            "    beta = 18.243243243243246\n",
            "    J = 4.7644e-01\n",
            "    grad_norm = 2.2502e-02\n",
            "iteration = (46 / 75)\n",
            "    beta = 18.635135135135133\n",
            "    J = 4.8094e-01\n",
            "    grad_norm = 9.4371e-03\n",
            "iteration = (47 / 75)\n",
            "    beta = 19.027027027027028\n",
            "    J = 4.8463e-01\n",
            "    grad_norm = 4.0233e-03\n",
            "iteration = (48 / 75)\n",
            "    beta = 19.41891891891892\n",
            "    J = 4.8790e-01\n",
            "    grad_norm = 4.3878e-03\n",
            "iteration = (49 / 75)\n",
            "    beta = 19.81081081081081\n",
            "    J = 4.9097e-01\n",
            "    grad_norm = 1.7099e-02\n",
            "iteration = (50 / 75)\n",
            "    beta = 20.202702702702705\n",
            "    J = 4.9336e-01\n",
            "    grad_norm = 3.0004e-02\n",
            "iteration = (51 / 75)\n",
            "    beta = 20.594594594594593\n",
            "    J = 4.9255e-01\n",
            "    grad_norm = 5.2674e-02\n",
            "iteration = (52 / 75)\n",
            "    beta = 20.986486486486484\n",
            "    J = 4.8954e-01\n",
            "    grad_norm = 7.1219e-02\n",
            "iteration = (53 / 75)\n",
            "    beta = 21.37837837837838\n",
            "    J = 4.9734e-01\n",
            "    grad_norm = 6.5491e-02\n",
            "iteration = (54 / 75)\n",
            "    beta = 21.77027027027027\n",
            "    J = 5.0893e-01\n",
            "    grad_norm = 1.7880e-02\n",
            "iteration = (55 / 75)\n",
            "    beta = 22.16216216216216\n",
            "    J = 5.1067e-01\n",
            "    grad_norm = 2.6590e-02\n",
            "iteration = (56 / 75)\n",
            "    beta = 22.554054054054053\n",
            "    J = 5.1590e-01\n",
            "    grad_norm = 9.4717e-03\n",
            "iteration = (57 / 75)\n",
            "    beta = 22.945945945945947\n",
            "    J = 5.1753e-01\n",
            "    grad_norm = 2.3413e-02\n",
            "iteration = (58 / 75)\n",
            "    beta = 23.33783783783784\n",
            "    J = 5.2106e-01\n",
            "    grad_norm = 1.6567e-02\n",
            "iteration = (59 / 75)\n",
            "    beta = 23.72972972972973\n",
            "    J = 5.2483e-01\n",
            "    grad_norm = 8.7103e-03\n",
            "iteration = (60 / 75)\n",
            "    beta = 24.12162162162162\n",
            "    J = 5.2704e-01\n",
            "    grad_norm = 1.1509e-02\n",
            "iteration = (61 / 75)\n",
            "    beta = 24.513513513513516\n",
            "    J = 5.2978e-01\n",
            "    grad_norm = 1.0025e-02\n",
            "iteration = (62 / 75)\n",
            "    beta = 24.905405405405407\n",
            "    J = 5.3268e-01\n",
            "    grad_norm = 9.1937e-03\n",
            "iteration = (63 / 75)\n",
            "    beta = 25.297297297297295\n",
            "    J = 5.3540e-01\n",
            "    grad_norm = 4.3291e-03\n",
            "iteration = (64 / 75)\n",
            "    beta = 25.68918918918919\n",
            "    J = 5.3763e-01\n",
            "    grad_norm = 1.4047e-02\n",
            "iteration = (65 / 75)\n",
            "    beta = 26.08108108108108\n",
            "    J = 5.4034e-01\n",
            "    grad_norm = 1.8126e-02\n",
            "iteration = (66 / 75)\n",
            "    beta = 26.472972972972972\n",
            "    J = 5.4303e-01\n",
            "    grad_norm = 9.8716e-03\n",
            "iteration = (67 / 75)\n",
            "    beta = 26.864864864864867\n",
            "    J = 5.4364e-01\n",
            "    grad_norm = 1.4579e-02\n",
            "iteration = (68 / 75)\n",
            "    beta = 27.256756756756754\n",
            "    J = 5.4363e-01\n",
            "    grad_norm = 2.7536e-02\n",
            "iteration = (69 / 75)\n",
            "    beta = 27.64864864864865\n",
            "    J = 5.4699e-01\n",
            "    grad_norm = 4.2894e-02\n",
            "iteration = (70 / 75)\n",
            "    beta = 28.040540540540544\n",
            "    J = 5.5118e-01\n",
            "    grad_norm = 1.8439e-02\n",
            "iteration = (71 / 75)\n",
            "    beta = 28.43243243243243\n",
            "    J = 5.5291e-01\n",
            "    grad_norm = 1.4719e-02\n",
            "iteration = (72 / 75)\n",
            "    beta = 28.824324324324323\n",
            "    J = 5.5478e-01\n",
            "    grad_norm = 1.9501e-02\n",
            "iteration = (73 / 75)\n",
            "    beta = 29.216216216216218\n",
            "    J = 5.5693e-01\n",
            "    grad_norm = 1.0886e-02\n",
            "iteration = (74 / 75)\n",
            "    beta = 29.60810810810811\n",
            "    J = 5.6090e-01\n",
            "    grad_norm = 8.5098e-03\n",
            "iteration = (75 / 75)\n",
            "    beta = 30.0\n",
            "    J = 5.6494e-01\n",
            "    grad_norm = 6.2371e-03"
          ]
        }
      ],
      "source": [
        "iter_done = len(history_dict[\"values\"])\n",
        "\n",
        "for i in range(iter_done, total_iter):\n",
        "    print(f\"iteration = ({i + 1} / {total_iter})\")\n",
        "\n",
        "    # compute gradient and current objective function value\n",
        "    perc_done = i / (total_iter - 1)\n",
        "    beta_i = beta_min * (1 - perc_done) + beta_max * perc_done\n",
        "    value, gradient = obj_grad(params, beta=beta_i)\n",
        "\n",
        "    # outputs\n",
        "    print(f\"\\tbeta = {beta_i}\")\n",
        "    print(f\"\\tJ = {value:.4e}\")\n",
        "    print(f\"\\tgrad_norm = {np.linalg.norm(gradient):.4e}\")\n",
        "\n",
        "    # compute and apply updates to the optimizer based on gradient (-1 sign to maximize obj_fn)\n",
        "    updates, opt_state = optimizer.update(-gradient, opt_state, params)\n",
        "    params[:] = apply_updates(params, updates)\n",
        "\n",
        "    # cap parameters between 0 and 1\n",
        "    np.clip(params, 0.0, 1.0, out=params)\n",
        "\n",
        "    # save history\n",
        "    history_dict[\"values\"].append(value)\n",
        "    history_dict[\"params\"].append(params)\n",
        "    history_dict[\"beta\"].append(beta_i)\n",
        "    history_dict[\"gradients\"].append(gradient)\n",
        "    history_dict[\"opt_states\"].append(opt_state)\n",
        "    # history_dict[\"data\"].append(sim_data_i) # uncomment to store data, can create large files\n",
        "    save_history(history_dict)"
      ],
      "id": "214bf029"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "### Optimization Results\n",
        "\n",
        "After 150 iterations, a coupling efficiency value of 0.71 (-1.48 dB) was\n",
        "achieved at the central wavelength."
      ],
      "id": "5b3200aa-00fd-4b45-aaef-91a0c2968bac"
    },
    {
      "cell_type": "code",
      "execution_count": 16,
      "metadata": {},
      "outputs": [],
      "source": [
        "obj_vals = np.array(history_dict[\"values\"])\n",
        "final_par = history_dict[\"params\"][-1]\n",
        "final_beta = history_dict[\"beta\"][-1]"
      ],
      "id": "0d510e1a"
    },
    {
      "cell_type": "code",
      "execution_count": 17,
      "metadata": {},
      "outputs": [
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "image/png": 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AgFKgVG6HKkldunTR2rVrNWzYMG3evFmSdPLk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          }
        }
      ],
      "source": [
        "fig, ax = plt.subplots(1, 1, figsize=(6, 4))\n",
        "ax.plot(obj_vals, \"ro\")\n",
        "ax.set_xlabel(\"iterations\")\n",
        "ax.set_ylabel(\"objective function\")\n",
        "ax.set_ylim(-1, 1)\n",
        "ax.set_title(f\"Final Objective Function Value: {obj_vals[-1]:.2f}\")\n",
        "plt.show()"
      ],
      "id": "0528e365"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "The final grating coupler structure is well binarized, with mostly black\n",
        "(`eps_max`) and white (`eps_min`) regions."
      ],
      "id": "cacb6126-29ef-4663-a819-becb81a5166f"
    },
    {
      "cell_type": "code",
      "execution_count": 18,
      "metadata": {},
      "outputs": [
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "image/png": 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IiIjcxIYUERERERGRmxhsgoiIiIgoQOXk5GDv3r3Ys2cPdu/ejYMHD6KwsBAA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\n0tR5s2bN2u54v379DGB++tOfmhUrVpj99tsvdX7yT48ePczcuXNT75k+f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          }
        }
      ],
      "source": [
        "fig, ax = plt.subplots(1, figsize=(4, 4))\n",
        "sim_final = make_adjoint_sim(final_par, beta=final_beta, unfold=True)\n",
        "sim_final.plot_eps(z=0, source_alpha=0, monitor_alpha=0, ax=ax)\n",
        "plt.show()"
      ],
      "id": "c30c44fc"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Once the inverse design is complete, we can visualize the field\n",
        "distributions and the wavelength dependent coupling efficiency."
      ],
      "id": "aae26fee-a244-498c-9394-8d8d3289e368"
    },
    {
      "cell_type": "code",
      "execution_count": 19,
      "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\">09:31:39 UTC </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'inv_des_final'</span> with resource_id                      \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-bf94c3b7-933b-4f34-9460-e7cc235a164d'</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-bf94c3b7-933b-4f34-9460-e7cc235a164d\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-bf94c3b7-933</span></a>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-bf94c3b7-933b-4f34-9460-e7cc235a164d\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">b-4f34-9460-e7cc235a164d'</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\":\"c5c13764a62c496cae44783b509f55bd\",\"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\">09:31:41 UTC </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.212</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\">09:31:42 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\":\"88ca97a4ac274f31be7a14e21e72b597\",\"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\">09:31:50 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>"
            ]
          }
        },
        {
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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\">09:31:54 UTC </span>starting up solver                                                 \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
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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\">             </span>running solver                                                     \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"e6877c2f75a7424594aacd4dfd475c1d\",\"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\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">09:32:06 UTC </span>early shutoff detected at <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">12</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>"
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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\">             </span>status = postprocess                                               \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\":\"d8ac2ca7b42247cb9485999f06f882f9\",\"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\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">09:32:09 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>"
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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\">09:32:11 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-bf94c3b7-933b-4f34-9460-e7cc235a164d\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-bf94c3b7-933</span></a>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-bf94c3b7-933b-4f34-9460-e7cc235a164d\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">b-4f34-9460-e7cc235a164d'</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\":\"0df587a37a674125b08e5866ec2efec9\",\"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\">09:32:12 UTC </span>Loading results from simulation_data.hdf5                          \n",
              "</pre>"
            ]
          }
        }
      ],
      "source": [
        "# Field monitors to visualize the final fields.\n",
        "field_xy = td.FieldMonitor(\n",
        "    size=(td.inf, td.inf, 0),\n",
        "    freqs=[freq],\n",
        "    name=\"field_xy\",\n",
        ")\n",
        "\n",
        "field_xz = td.FieldMonitor(\n",
        "    size=(td.inf, 0, td.inf),\n",
        "    freqs=[freq],\n",
        "    name=\"field_xz\",\n",
        ")\n",
        "\n",
        "# Monitor to compute the grating coupler efficiency.\n",
        "gc_efficiency = td.ModeMonitor(\n",
        "    center=[mon_pos_x, 0, 0],\n",
        "    size=[0, mon_w, mon_h],\n",
        "    freqs=freqs,\n",
        "    mode_spec=mode_spec,\n",
        "    name=\"gc_efficiency\",\n",
        ")\n",
        "\n",
        "sim_final = sim_final.copy(update=dict(monitors=(field_xy, field_xz, gc_efficiency)))\n",
        "sim_data_final = web.run(sim_final, task_name=\"inv_des_final\")"
      ],
      "id": "ca787b81"
    },
    {
      "cell_type": "code",
      "execution_count": 20,
      "metadata": {},
      "outputs": [
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
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u4caNG1rLRUdHi+Pz9/fXOg6pX7uiYuLEiahdu7bO7SNGjBAfazsObNy4EdnZ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/r0aQB5M9vzp4iQog57kT9IY+tFAx2RTCbDzz//jPfee88q7S1fvhzLly+3Slt79+41uqxCoRDX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\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I5SvlLHHCJnJeCyXlrolUmciWKUb9oDSh597VYeuKGJd0iZNqmI5ll9L79E4AOnIextOM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\nZ6bacDgcZwfrrrwSDp7asatWrXKFSWeBcskW3x0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VRFoxr1jkgh7N1eceouvV9qkcfclF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\nKioqSg8ePJA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          }
        }
      ],
      "source": [
        "mode_amps = sim_data_final[\"gc_efficiency\"]\n",
        "coeffs_f = mode_amps.amps.sel(direction=\"-\")\n",
        "power_0 = np.abs(coeffs_f.sel(mode_index=0)) ** 2\n",
        "power_0_db = 10 * np.log10(power_0)\n",
        "\n",
        "sim_plot = sim_final.updated_copy(symmetry=(0, 0, 0), monitors=(field_xy, field_xz, gc_efficiency))\n",
        "sim_data_plot = sim_data_final.updated_copy(simulation=sim_plot)\n",
        "\n",
        "f, ax = plt.subplots(2, 2, figsize=(8, 6), tight_layout=True)\n",
        "sim_plot.plot_eps(z=0, source_alpha=0, monitor_alpha=0, ax=ax[0, 1])\n",
        "ax[1, 0].plot(wl_range, power_0_db, \"-k\")\n",
        "ax[1, 0].set_xlabel(\"Wavelength (um)\")\n",
        "ax[1, 0].set_ylabel(\"Power (db)\")\n",
        "ax[1, 0].set_ylim(-15, 0)\n",
        "ax[1, 0].set_xlim(wl - bw / 2, wl + bw / 2)\n",
        "ax[1, 0].set_title(\"Coupling Efficiency\")\n",
        "sim_data_plot.plot_field(\"field_xy\", \"E\", \"abs^2\", z=0, ax=ax[1, 1])\n",
        "ax[0, 0].plot(obj_vals, \"ro\")\n",
        "ax[0, 0].set_xlabel(\"iterations\")\n",
        "ax[0, 0].set_ylabel(\"objective function\")\n",
        "ax[0, 0].set_ylim(-1, 1)\n",
        "ax[0, 0].set_title(f\"Final Objective Function Value: {obj_vals[-1]:.2f}\")\n",
        "plt.show()"
      ],
      "id": "cbd475f6"
    },
    {
      "cell_type": "code",
      "execution_count": 21,
      "metadata": {},
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "optimized loss of -2.20 dB"
          ]
        }
      ],
      "source": [
        "loss_db = max(power_0_db)\n",
        "print(f\"optimized loss of {loss_db:.2f} dB\")"
      ],
      "id": "0cc95330"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## Export to GDS\n",
        "\n",
        "The `Simulation` object has the\n",
        "[.to_gds_file](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.Simulation.html#tidy3d.Simulation.to_gds_file)\n",
        "convenience function to export the final design to a `GDS` file. In\n",
        "addition to a file name, it is necessary to set a cross-sectional plane\n",
        "(`z = 0` in this case) on which to evaluate the geometry, a `frequency`\n",
        "to evaluate the permittivity, and a `permittivity_threshold` to define\n",
        "the shape boundaries in custom mediums. See the [GDS\n",
        "export](https://www.flexcompute.com/tidy3d/examples/notebooks/GDSExport/)\n",
        "notebook for a detailed example on using `.to_gds_file` and other GDS\n",
        "related functions."
      ],
      "id": "ff1d5c6b-2c9c-4d11-9811-7e072d138d3a"
    },
    {
      "cell_type": "code",
      "execution_count": 22,
      "metadata": {},
      "outputs": [],
      "source": [
        "sim_final.to_gds_file(\n",
        "    fname=\"./misc/inverse_designed_gc.gds\",\n",
        "    z=0,\n",
        "    permittivity_threshold=(eps_max + eps_min) / 2,\n",
        "    frequency=freq,\n",
        ")"
      ],
      "id": "fa1f3e7a"
    }
  ],
  "nbformat": 4,
  "nbformat_minor": 5,
  "metadata": {
    "kernelspec": {
      "display_name": "Python 3",
      "language": "python",
      "name": "python3"
    }
  }
}