{"cells": [{"cell_type": "markdown", "id": "13072c7b", "metadata": {}, "source": ["#  Vortex beam metasurface\n", "\n", "\n", "Vortex beam generation with metasurfaces leverages ultra-thin, planar structures to induce helical phase fronts in light, forming beams with orbital angular momentum (OAM). These metasurfaces are composed of precisely designed arrays of nanostructures that manipulate light at subwavelength scales, enabling the creation of vortex beams with high efficiency and accuracy. By engineering the phase profile of the metasurface, vortex beams with specific topological charges can be generated, providing compact and versatile solutions for applications in optical communication, quantum information processing, and particle manipulation.\n", "\n", "\n", "In this notebook, we will use Tidy3D to simulate the plasmonic interface fabricated as described in the paper titled: `Yu, N., Genevet, P., Kats, M. A., Aieta, F., Tetienne, J.-P., Capasso, F., & Gaburro, Z. (n.d.). Light Propagation with Phase Discontinuities: Generalized Laws of Reflection and Refraction` [Doi: 10.1126/science.1210713](https://projects.iq.harvard.edu/files/capasso/files/2011_yu_et_al._science.pdf).\n", "\n", "The metasurface is composed of 8 different unit cells, each distributed in one of the 8 octants of the metasurface. This arrangement creates a phase discontinuity in steps of $\\pi/4$, inducing a spiral-like phase shift in an incident wave and generating a vortex beam.\n", "\n", "<img src=\"img/vortexMetasurface_1.png\" width=\"400\" alt=\"Schematic of the experiment\">\n", "\n", "\n", "For more examples involving metamaterials and metasurfaces, please refer to our [example library](https://www.flexcompute.com/tidy3d/learning-center/example-library/), were you can find interesting case studies such as [Gradient metasurface reflector](https://www.flexcompute.com/tidy3d/examples/notebooks/GradientMetasurfaceReflector/), [Dielectric metasurface absorber](https://www.flexcompute.com/tidy3d/examples/notebooks/DielectricMetasurfaceAbsorber/), [Tunable chiral metasurface based on phase change material](https://www.flexcompute.com/tidy3d/examples/notebooks/TunableChiralMetasurface/) and a [inverse-design-optimized diffractive metasurface](https://www.flexcompute.com/tidy3d/examples/notebooks/Autograd13Metasurface/).\n", " \n", "\n", "If you are new to the finite-difference time-domain (FDTD) method, we highly recommend going through our [FDTD101](https://www.flexcompute.com/fdtd101/) tutorials. \n", "\n", "FDTD simulations can diverge due to various reasons. If you run into any simulation divergence issues, please follow the steps outlined in our [troubleshooting guide](https://www.flexcompute.com/tidy3d/examples/notebooks/DivergedFDTDSimulation/) to resolve it. "]}, {"cell_type": "markdown", "id": "55a61f9f-6e13-44a4-982e-798a25e1ea43", "metadata": {}, "source": ["## Simulation Setup\n", "\n", "First, we will import the necessary libraries."]}, {"cell_type": "code", "execution_count": 1, "id": "ccb62b04", "metadata": {}, "outputs": [], "source": ["# importing libraries\n", "\n", "from warnings import warn\n", "\n", "import matplotlib.pyplot as plt\n", "import numpy as np\n", "import tidy3d as td\n", "from tidy3d import web"]}, {"cell_type": "markdown", "id": "5e0acfc0", "metadata": {}, "source": ["The simulation will be parameterized by the number of unit cells in each direction (variable `N`), the distance of the source from the structure and from the PML, and the lattice constant.\n", "\n", "The model consists of a semi-infinite silicon substrate in the -z direction, the metasurface, and an air region. An x-polarized Gaussian beam is incident from the -z to the +z direction. A field monitor is placed to store the field profile in the frequency domain and project it to the far-field."]}, {"cell_type": "markdown", "id": "74266c8e-8454-4448-a28d-4b70c036e66f", "metadata": {}, "source": ["### Simulation Parameters\n", "\n", "It is always good practice in FDTD simulations to parameterize the setup. This way, changing the structure only requires modifying a single variable."]}, {"cell_type": "code", "execution_count": 2, "id": "797052f8-5f4c-47cd-8304-2a5e8896ac6a", "metadata": {}, "outputs": [], "source": ["N = 20\n", "\n", "# even distribution is used to avoid octant ambiguities\n", "if N % 2 != 0:\n", "    N += 1\n", "    warn(\"Odd numbers of unit cells are not allowed. Adding +1 to the NN variable.\")\n", "\n", "# target wavelength\n", "Wl = 8\n", "\n", "# lattice constant\n", "lattice_constant = 1.5\n", "\n", "# defining the central frequency and linewidth of the source\n", "fcen = td.C_0 / Wl\n", "fwidth = 0.2 * fcen\n", "\n", "# simulation run time\n", "run_time = 1e-12\n", "\n", "\n", "# parameters of the fabricated antennas\n", "width = 0.22\n", "thickness = 0.05\n", "\n", "# distance between structures and pml along z\n", "pml_buffer = 4"]}, {"cell_type": "markdown", "id": "aaf5f074-3c9b-4144-85fe-f45cf44fb914", "metadata": {}, "source": ["Now, we will define each parameter needed to build the simulation as a function of the parameters defined above:"]}, {"cell_type": "code", "execution_count": 3, "id": "9efd23a0", "metadata": {}, "outputs": [], "source": ["# the size of the metasurface plane as a function of the number of unit cells and the lattice constant\n", "#   a 1.5 lattice constant is added on each side to avoid structures touching the PML\n", "\n", "sx = (N + 3) * lattice_constant\n", "sy = sx\n", "\n", "# defining the z-size of the simulation\n", "sz = 2 * pml_buffer + thickness\n", "\n", "# defining the Z position of the metasurface\n", "structure_z_position = 0\n", "\n", "# defining monitor Z position\n", "monitor_z_position = sz / 2 - pml_buffer / 2\n", "\n", "# defining the center position and size of the source\n", "center_source = (0, 0, -sz / 2 + pml_buffer / 2)\n", "size_source = (td.inf, td.inf, 0)"]}, {"cell_type": "markdown", "id": "a78285aa", "metadata": {}, "source": ["Here, we will define an auxiliary function to return the antenna structure. The antenna is modeled as two [Box](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.Box.html) arms that are tilted apart from each other by the angle `delta`. The antennas are then rotated by an angle `theta` around an axis that passes through their center, defined as the junction of the arms. To make the structures smoother and more similar to the SEM images, a [cylinder](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.Cylinder.html) is added at the arms' junction.\n", "\n", "The `vAntennaBlock` function returns a [Transformed](https://docs.flexcompute.com/projects/tidy3d/en/v2.6.0/api/_autosummary/tidy3d.Transformed.html) object. For more information on how to apply geometry transformations, refer to this [notebook](https://www.flexcompute.com/tidy3d/examples/notebooks/GeometryTransformations/)."]}, {"cell_type": "code", "execution_count": 4, "id": "649b8596-1131-4eb9-ad73-94ad09aefa9f", "metadata": {}, "outputs": [], "source": ["def vAntennaBlock(center, delta, theta, length):\n", "    \"\"\"\n", "    Create a V-antenna structure.\n", "\n", "    Parameters:\n", "        center (tuple): Center coordinates of the antenna.\n", "        delta (float): Angle in between the antenna arms (deg).\n", "        theta (float): Tilt angle of the antenna arms (deg).\n", "        length (float): Length of the antenna arms.\n", "\n", "    Returns:\n", "        Tidy3D structure representing the V-antenna.\n", "    \"\"\"\n", "\n", "    # Create arms and cylinder\n", "    arm1 = td.Box(size=(length, width, thickness), center=(0, 0, 0))\n", "    arm2 = arm1.copy()\n", "    cylinder1 = td.Cylinder(radius=width / 2, center=(0, 0, 0), axis=2, length=thickness)\n", "\n", "    # rotate each arm around its left corner in opposite directions\n", "    arm1 = arm1.translated(length / 2, 0, 0).rotated((delta / 2) * np.pi / 180, 2)\n", "    arm2 = arm2.translated(length / 2, 0, 0).rotated((-delta / 2) * np.pi / 180, 2)\n", "\n", "    antenna = cylinder1 + arm1 + arm2\n", "\n", "    # rotate and translate the whole antenna\n", "    antenna = antenna.rotated(theta * np.pi / 180, 2).translated(*center)\n", "\n", "    return antenna\n", "\n", "\n", "# create a dictionary to define the parameters of the antennas in each octante\n", "# to create the appropriate phase change\n", "dicNumerator = {\n", "    0: (90, -45, 1.1),\n", "    1: (90 + 45, -45, 0.9),\n", "    2: (180, -45, 0.8),\n", "    3: (45, 45, 1.3),\n", "    4: (-90, 45, 1.1),\n", "    5: (-90 - 45, 45, 0.9),\n", "    6: (180, 45, 0.8),\n", "    7: (45, -45, 1.3),\n", "}"]}, {"cell_type": "code", "execution_count": 5, "id": "863d5b6e-852b-4670-b591-7e4e550be1b9", "metadata": {}, "outputs": [{"data": {"image/png": 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", "text/plain": ["<Figure size 640x480 with 8 Axes>"]}, "metadata": {}, "output_type": "display_data"}], "source": ["# plot each antenna\n", "fig, ax = plt.subplots(1, 8)\n", "for i in dicNumerator.keys():\n", "    vAntennaBlock((0, 0, 0), *dicNumerator[i]).plot(\n", "        z=0,\n", "        ax=ax[i],\n", "        linewidth=0,\n", "        facecolor=\"navy\",  # patches kwargs\n", "    )\n", "    ax[i].set_axis_off()\n", "    ax[i].set_title(\"\")\n", "fig.tight_layout()\n", "plt.show()"]}, {"cell_type": "markdown", "id": "88a6ab49", "metadata": {}, "source": ["### Building the Metasurface\n", "\n", "To properly position the unit cells and build the metasurface, we defined the function `classifyOctant`, which takes the x and y position of a unit cell and returns the octant where the structure belongs. The function is adapted so that the first octant matches the zero-phase antenna."]}, {"cell_type": "code", "execution_count": 6, "id": "7e67551e", "metadata": {}, "outputs": [], "source": ["def classifyOctant(x, y):\n", "    angle = 180 + 180 * (np.arctan2(y, x) / np.pi)\n", "    octant = angle // 45.00\n", "    return octant, angle"]}, {"cell_type": "code", "execution_count": 7, "id": "4f274698", "metadata": {}, "outputs": [{"data": {"image/png": 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", "text/plain": ["<Figure size 640x480 with 1 Axes>"]}, "metadata": {}, "output_type": "display_data"}], "source": ["metasurface = None\n", "# loops iterating in both dimensions\n", "for x in range(N):\n", "    for y in range(N):\n", "        # defining the position of the unit cell\n", "        posX = ((N / 2) - x) * lattice_constant - lattice_constant * 0.5\n", "        posY = ((N / 2) - y) * lattice_constant - lattice_constant * 0.5\n", "\n", "        # defining angle and octant\n", "        octant, angle = classifyOctant(posX, posY)\n", "\n", "        # condition to remove the 45 degree row in the lower half of the metasurface, for it is more similar\n", "        # to what was done in the experiment\n", "        if (abs(angle - 45) >= 0.1) and not (posX == 0 and posY > 0):\n", "            # antenna parameters for a given octant\n", "            armArgs = dicNumerator[octant]\n", "\n", "            # adding to the structure\n", "            if metasurface is None:\n", "                metasurface = vAntennaBlock((posX, posY, structure_z_position), *armArgs)\n", "            else:\n", "                metasurface += vAntennaBlock((posX, posY, structure_z_position), *armArgs)\n", "\n", "# define the medium e create the structure object\n", "medium = td.material_library[\"Au\"][\"Olmon2012crystal\"]  # built-in gold model for the\n", "# frequency range of interest\n", "metasurface = td.Structure(geometry=metasurface, medium=medium)\n", "\n", "metasurface.plot(z=structure_z_position, linewidth=0)\n", "plt.show()"]}, {"cell_type": "markdown", "id": "489328ff-42fa-4231-83f6-e990ed5ef2d4", "metadata": {}, "source": ["### Creating Simulation Object"]}, {"cell_type": "markdown", "id": "aadae77a", "metadata": {}, "source": ["Since the structures are much smaller than the target wavelength, it is necessary to create a [mesh override](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.MeshOverrideStructure.html) region around the metasurface to properly resolve the structures, while using a coarser mesh for free space propagation.\n", "\n", "We will also define a [Gaussain beam source](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.GaussianBeam.html) source with a [gaussian time profile](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.GaussianPulse.html).\n", "\n", "Additionally, we will include the substrate region.\n", "\n", "For the monitors, we will add a [far-field monitor](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.FieldProjectionCartesianMonitor.html),\n", "to project the fields on the server side, and a [field monitor](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.FieldMonitor.html) that will store the near-field information for projection locally after the simulation.\n", "\n", "Note that we set `colocate = False` for the `FieldMonitor`, which means the raw field data will be recorded on the Yee grid. This option avoids double interpolation, leading to more accurate results for far-field projection on the user side."]}, {"cell_type": "code", "execution_count": 8, "id": "d10bfd43", "metadata": {}, "outputs": [{"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\">13:18:10 CEST </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Structure: simulation.structures</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">[</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">]</span><span style=\"color: #800000; text-decoration-color: #800000\"> </span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">(</span><span style=\"color: #800000; text-decoration-color: #800000\">no `name` was       </span>\n", "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><span style=\"color: #800000; text-decoration-color: #800000\">specified</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">)</span><span style=\"color: #800000; text-decoration-color: #800000\"> was detected as being less than half of a central      </span>\n", "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><span style=\"color: #800000; text-decoration-color: #800000\">wavelength from a PML on side x-min. To avoid inaccurate results  </span>\n", "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><span style=\"color: #800000; text-decoration-color: #800000\">or divergence, please increase gap between any structures and PML </span>\n", "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><span style=\"color: #800000; text-decoration-color: #800000\">or fully extend structure through the pml.                        </span>\n", "</pre>\n"], "text/plain": ["\u001b[2;36m13:18:10 CEST\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Structure: simulation.structures\u001b[0m\u001b[1;31m[\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;31m]\u001b[0m\u001b[31m \u001b[0m\u001b[1;31m(\u001b[0m\u001b[31mno `name` was       \u001b[0m\n", "\u001b[2;36m              \u001b[0m\u001b[31mspecified\u001b[0m\u001b[1;31m)\u001b[0m\u001b[31m was detected as being less than half of a central      \u001b[0m\n", "\u001b[2;36m              \u001b[0m\u001b[31mwavelength from a PML on side x-min. To avoid inaccurate results  \u001b[0m\n", "\u001b[2;36m              \u001b[0m\u001b[31mor divergence, please increase gap between any structures and PML \u001b[0m\n", "\u001b[2;36m              \u001b[0m\u001b[31mor fully extend structure through the pml.                        \u001b[0m\n"]}, "metadata": {}, "output_type": "display_data"}, {"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><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Suppressed </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span><span style=\"color: #800000; text-decoration-color: #800000\"> WARNING messages.                           </span>\n", "</pre>\n"], "text/plain": ["\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Suppressed \u001b[0m\u001b[1;36m3\u001b[0m\u001b[31m WARNING messages.                           \u001b[0m\n"]}, "metadata": {}, "output_type": "display_data"}], "source": ["mesh_override = td.MeshOverrideStructure(\n", "    geometry=td.Box(center=(0, 0, structure_z_position), size=(sx, sy, thickness)),\n", "    dl=(0.02,) * 3,\n", ")\n", "\n", "source_time = td.GaussianPulse(freq0=fcen, fwidth=fwidth)\n", "\n", "source = td.GaussianBeam(\n", "    center=center_source,\n", "    size=size_source,\n", "    direction=\"+\",\n", "    pol_angle=0,\n", "    source_time=source_time,\n", "    waist_radius=16,\n", "    waist_distance=center_source[2],\n", ")\n", "\n", "substrate = td.Structure(\n", "    geometry=td.Box.from_bounds(\n", "        rmin=(-2 * sx, -2 * sy, -100),\n", "        rmax=(2 * sx, 2 * sy, -thickness / 2),\n", "    ),\n", "    medium=td.Medium(permittivity=3.47**2),\n", ")\n", "\n", "far_field_monitor = td.FieldProjectionCartesianMonitor(\n", "    center=(0, 0, monitor_z_position),\n", "    size=(td.inf, td.inf, 0),\n", "    normal_dir=\"+\",\n", "    freqs=[fcen],\n", "    x=300 * np.linspace(-0.5, 0.5, 100),\n", "    y=300 * np.linspace(-0.5, 0.5, 100),\n", "    proj_axis=2,\n", "    proj_distance=20 * Wl,\n", "    far_field_approx=False,\n", "    name=\"farFieldMon\",\n", ")\n", "\n", "field_monitor = td.FieldMonitor(\n", "    center=far_field_monitor.center,\n", "    size=far_field_monitor.size,\n", "    freqs=far_field_monitor.freqs,\n", "    name=\"fieldMon\",\n", "    colocate=False,\n", ")\n", "\n", "# creating the simulation object\n", "\n", "sim = td.Simulation(\n", "    size=(sx, sy, sz),\n", "    grid_spec=td.GridSpec.auto(\n", "        min_steps_per_wvl=20,  # grid specification and mesh override\n", "        override_structures=[mesh_override],\n", "    ),\n", "    structures=[substrate] + [metasurface],\n", "    sources=[source],\n", "    monitors=[far_field_monitor, field_monitor],\n", "    run_time=run_time,\n", "    boundary_spec=td.BoundarySpec(  # all boundaries are pmls in order to simulate a finite structure\n", "        x=td.Boundary.pml(), y=td.Boundary.pml(), z=td.Boundary.pml()\n", "    ),\n", ")"]}, {"cell_type": "markdown", "id": "7f9a7ad5", "metadata": {}, "source": ["We notice a warning that the structures are positioned close to the PML. However, since we're using a Gaussian beam source focused on the center of the structures, there will be no evanescent fields near the PML. Therefore, we can disregard this warning.\n", "\n", "To make sure that everything is correct, we will plot the y-z and x-y planes of the model.The green line represents the source, the yellow line represents the monitors, the blue area indicates the substrate, and the red area shows the cross-section of the antennas.\n", "the override mesh region is depicted in gray."]}, {"cell_type": "code", "execution_count": 9, "id": "9900c6b3", "metadata": {}, "outputs": [{"data": {"image/png": 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", "text/plain": ["<Figure size 800x380 with 2 Axes>"]}, "metadata": {}, "output_type": "display_data"}], "source": ["fig, Ax = plt.subplots(1, 2, tight_layout=True, figsize=(8, 3.8))\n", "\n", "sim.plot(x=1, ax=Ax[0])\n", "mesh_override.plot(x=1, ax=Ax[0], alpha=0.2)\n", "Ax[0].set_xlim(-5, 5)\n", "Ax[0].set_ylim(-5, 5)\n", "\n", "sim.plot(z=structure_z_position, ax=Ax[1])\n", "plt.show()"]}, {"cell_type": "code", "execution_count": 10, "id": "2be8df9d", "metadata": {}, "outputs": [{"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\">13:18:19 CEST </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'vortexMetasurface'</span> with task_id                     \n", "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-bcb3d5d7-f2d6-4544-bcc1-00fc3f98daeb'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>. \n", "</pre>\n"], "text/plain": ["\u001b[2;36m13:18:19 CEST\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'vortexMetasurface'\u001b[0m with task_id                     \n", "\u001b[2;36m              \u001b[0m\u001b[32m'fdve-bcb3d5d7-f2d6-4544-bcc1-00fc3f98daeb'\u001b[0m and task_type \u001b[32m'FDTD'\u001b[0m. \n"]}, "metadata": {}, "output_type": "display_data"}, {"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-bcb3d5d7-f2d6-4544-bcc1-00fc3f98daeb\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-bcb3d5d7-f2</span></a>\n", "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-bcb3d5d7-f2d6-4544-bcc1-00fc3f98daeb\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">d6-4544-bcc1-00fc3f98daeb'</span></a>.                                       \n", "</pre>\n"], "text/plain": ["\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at                                         \n", "\u001b[2;36m              \u001b[0m\u001b]8;id=28916;https://tidy3d.simulation.cloud/workbench?taskId=fdve-bcb3d5d7-f2d6-4544-bcc1-00fc3f98daeb\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=99195;https://tidy3d.simulation.cloud/workbench?taskId=fdve-bcb3d5d7-f2d6-4544-bcc1-00fc3f98daeb\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=28916;https://tidy3d.simulation.cloud/workbench?taskId=fdve-bcb3d5d7-f2d6-4544-bcc1-00fc3f98daeb\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=707778;https://tidy3d.simulation.cloud/workbench?taskId=fdve-bcb3d5d7-f2d6-4544-bcc1-00fc3f98daeb\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=28916;https://tidy3d.simulation.cloud/workbench?taskId=fdve-bcb3d5d7-f2d6-4544-bcc1-00fc3f98daeb\u001b\\\u001b[32m-bcb3d5d7-f2\u001b[0m\u001b]8;;\u001b\\\n", "\u001b[2;36m              \u001b[0m\u001b]8;id=28916;https://tidy3d.simulation.cloud/workbench?taskId=fdve-bcb3d5d7-f2d6-4544-bcc1-00fc3f98daeb\u001b\\\u001b[32md6-4544-bcc1-00fc3f98daeb'\u001b[0m\u001b]8;;\u001b\\.                                       \n"]}, "metadata": {}, "output_type": "display_data"}, {"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>\n"], "text/plain": ["\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mTask folder: \u001b]8;id=383976;https://tidy3d.simulation.cloud/folders/9b36e144-ddb6-41f8-8dd8-30b62b26a870\u001b\\\u001b[32m'default'\u001b[0m\u001b]8;;\u001b\\.                                           \n"]}, "metadata": {}, "output_type": "display_data"}, {"data": {"application/vnd.jupyter.widget-view+json": {"model_id": "bacc338034ad4f398f7b8a903f7b0f46", "version_major": 2, "version_minor": 0}, "text/plain": ["Output()"]}, "metadata": {}, "output_type": "display_data"}, {"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>\n"], "text/plain": []}, "metadata": {}, "output_type": "display_data"}, {"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\">13:18:24 CEST </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2.465</span>. Minimum cost depends on task      \n", "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span>execution details. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get the billed \n", "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span>FlexCredit cost after a simulation run.                           \n", "</pre>\n"], "text/plain": ["\u001b[2;36m13:18:24 CEST\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m2.465\u001b[0m. Minimum cost depends on task      \n", "\u001b[2;36m              \u001b[0mexecution details. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed \n", "\u001b[2;36m              \u001b[0mFlexCredit cost after a simulation run.                           \n"]}, "metadata": {}, "output_type": "display_data"}, {"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\">13:18:27 CEST </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2.465</span>. Minimum cost depends on task      \n", "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span>execution details. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get the billed \n", "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span>FlexCredit cost after a simulation run.                           \n", "</pre>\n"], "text/plain": ["\u001b[2;36m13:18:27 CEST\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m2.465\u001b[0m. Minimum cost depends on task      \n", "\u001b[2;36m              \u001b[0mexecution details. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed \n", "\u001b[2;36m              \u001b[0mFlexCredit cost after a simulation run.                           \n"]}, "metadata": {}, "output_type": "display_data"}, {"data": {"text/plain": ["2.464539667330026"]}, "execution_count": 10, "metadata": {}, "output_type": "execute_result"}], "source": ["# estimating the credit cost of the simulation\n", "task_id = web.upload(sim, task_name=\"vortexMetasurface\")\n", "web.estimate_cost(task_id)"]}, {"cell_type": "code", "execution_count": 11, "id": "5df7ff53", "metadata": {}, "outputs": [{"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\">13:18:28 CEST </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'vortexMetasurface'</span> with task_id                     \n", "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-b07a2fbd-078c-48e0-94ad-da5477d0be85'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>. \n", "</pre>\n"], "text/plain": ["\u001b[2;36m13:18:28 CEST\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'vortexMetasurface'\u001b[0m with task_id                     \n", "\u001b[2;36m              \u001b[0m\u001b[32m'fdve-b07a2fbd-078c-48e0-94ad-da5477d0be85'\u001b[0m and task_type \u001b[32m'FDTD'\u001b[0m. \n"]}, "metadata": {}, "output_type": "display_data"}, {"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-b07a2fbd-078c-48e0-94ad-da5477d0be85\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-b07a2fbd-07</span></a>\n", "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-b07a2fbd-078c-48e0-94ad-da5477d0be85\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">8c-48e0-94ad-da5477d0be85'</span></a>.                                       \n", "</pre>\n"], "text/plain": ["\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at                                         \n", "\u001b[2;36m              \u001b[0m\u001b]8;id=76303;https://tidy3d.simulation.cloud/workbench?taskId=fdve-b07a2fbd-078c-48e0-94ad-da5477d0be85\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=113378;https://tidy3d.simulation.cloud/workbench?taskId=fdve-b07a2fbd-078c-48e0-94ad-da5477d0be85\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=76303;https://tidy3d.simulation.cloud/workbench?taskId=fdve-b07a2fbd-078c-48e0-94ad-da5477d0be85\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=19877;https://tidy3d.simulation.cloud/workbench?taskId=fdve-b07a2fbd-078c-48e0-94ad-da5477d0be85\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=76303;https://tidy3d.simulation.cloud/workbench?taskId=fdve-b07a2fbd-078c-48e0-94ad-da5477d0be85\u001b\\\u001b[32m-b07a2fbd-07\u001b[0m\u001b]8;;\u001b\\\n", "\u001b[2;36m              \u001b[0m\u001b]8;id=76303;https://tidy3d.simulation.cloud/workbench?taskId=fdve-b07a2fbd-078c-48e0-94ad-da5477d0be85\u001b\\\u001b[32m8c-48e0-94ad-da5477d0be85'\u001b[0m\u001b]8;;\u001b\\.                                       \n"]}, "metadata": {}, "output_type": "display_data"}, {"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/folder-9eff5b0d-493f-4782-84e6-71f1fcdbf47b\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'data'</span></a>.                                              \n", "</pre>\n"], "text/plain": ["\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mTask folder: \u001b]8;id=188917;https://tidy3d.simulation.cloud/folders/folder-9eff5b0d-493f-4782-84e6-71f1fcdbf47b\u001b\\\u001b[32m'data'\u001b[0m\u001b]8;;\u001b\\.                                              \n"]}, "metadata": {}, "output_type": "display_data"}, {"data": {"application/vnd.jupyter.widget-view+json": {"model_id": "170be5c4b83447c9a324c31a02aab10e", "version_major": 2, "version_minor": 0}, "text/plain": ["Output()"]}, "metadata": {}, "output_type": "display_data"}, {"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>\n"], "text/plain": []}, "metadata": {}, "output_type": "display_data"}, {"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\">13:18:32 CEST </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2.465</span>. Minimum cost depends on task      \n", "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span>execution details. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get the billed \n", "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span>FlexCredit cost after a simulation run.                           \n", "</pre>\n"], "text/plain": ["\u001b[2;36m13:18:32 CEST\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m2.465\u001b[0m. Minimum cost depends on task      \n", "\u001b[2;36m              \u001b[0mexecution details. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed \n", "\u001b[2;36m              \u001b[0mFlexCredit cost after a simulation run.                           \n"]}, "metadata": {}, "output_type": "display_data"}, {"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\">13:18:33 CEST </span>status = queued                                                   \n", "</pre>\n"], "text/plain": ["\u001b[2;36m13:18:33 CEST\u001b[0m\u001b[2;36m \u001b[0mstatus = queued                                                   \n"]}, "metadata": {}, "output_type": "display_data"}, {"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>\n"], "text/plain": ["\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mTo cancel the simulation, use \u001b[32m'web.abort\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or             \n", "\u001b[2;36m              \u001b[0m\u001b[32m'web.delete\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or abort/delete the task in the web UI.     \n", "\u001b[2;36m              \u001b[0mTerminating the Python script will not stop the job running on the\n", "\u001b[2;36m              \u001b[0mcloud.                                                            \n"]}, "metadata": {}, "output_type": "display_data"}, {"data": {"application/vnd.jupyter.widget-view+json": {"model_id": "0715fbe8d5db4905b386450be8cf6412", "version_major": 2, "version_minor": 0}, "text/plain": ["Output()"]}, "metadata": {}, "output_type": "display_data"}, {"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\">13:18:52 CEST </span>status = preprocess                                               \n", "</pre>\n"], "text/plain": ["\u001b[2;36m13:18:52 CEST\u001b[0m\u001b[2;36m \u001b[0mstatus = preprocess                                               \n"]}, "metadata": {}, "output_type": "display_data"}, {"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>\n"], "text/plain": []}, "metadata": {}, "output_type": "display_data"}, {"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\">13:19:02 CEST </span>starting up solver                                                \n", "</pre>\n"], "text/plain": ["\u001b[2;36m13:19:02 CEST\u001b[0m\u001b[2;36m \u001b[0mstarting up solver                                                \n"]}, "metadata": {}, "output_type": "display_data"}, {"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>\n"], "text/plain": ["\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mrunning solver                                                    \n"]}, "metadata": {}, "output_type": "display_data"}, {"data": {"application/vnd.jupyter.widget-view+json": {"model_id": "6a0244d99dea463f84d9b92a2c87144e", "version_major": 2, "version_minor": 0}, "text/plain": ["Output()"]}, "metadata": {}, "output_type": "display_data"}, {"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\">13:20:09 CEST </span>early shutoff detected at <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">64</span>%, exiting.                           \n", "</pre>\n"], "text/plain": ["\u001b[2;36m13:20:09 CEST\u001b[0m\u001b[2;36m \u001b[0mearly shutoff detected at \u001b[1;36m64\u001b[0m%, exiting.                           \n"]}, "metadata": {}, "output_type": "display_data"}, {"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>\n"], "text/plain": []}, "metadata": {}, "output_type": "display_data"}, {"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\">13:20:10 CEST </span>status = postprocess                                              \n", "</pre>\n"], "text/plain": ["\u001b[2;36m13:20:10 CEST\u001b[0m\u001b[2;36m \u001b[0mstatus = postprocess                                              \n"]}, "metadata": {}, "output_type": "display_data"}, {"data": {"application/vnd.jupyter.widget-view+json": {"model_id": "1c3e7077cbdf4f8bafb6fd2bc053fa2a", "version_major": 2, "version_minor": 0}, "text/plain": ["Output()"]}, "metadata": {}, "output_type": "display_data"}, {"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\">13:20:19 CEST </span>status = success                                                  \n", "</pre>\n"], "text/plain": ["\u001b[2;36m13:20:19 CEST\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                                  \n"]}, "metadata": {}, "output_type": "display_data"}, {"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>\n"], "text/plain": []}, "metadata": {}, "output_type": "display_data"}, {"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\">13:20:21 CEST </span>View simulation result at                                         \n", "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-b07a2fbd-078c-48e0-94ad-da5477d0be85\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-b07a2fbd-07</span></a>\n", "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-b07a2fbd-078c-48e0-94ad-da5477d0be85\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">8c-48e0-94ad-da5477d0be85'</span></a><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">.</span>                                       \n", "</pre>\n"], "text/plain": ["\u001b[2;36m13:20:21 CEST\u001b[0m\u001b[2;36m \u001b[0mView simulation result at                                         \n", "\u001b[2;36m              \u001b[0m\u001b]8;id=778803;https://tidy3d.simulation.cloud/workbench?taskId=fdve-b07a2fbd-078c-48e0-94ad-da5477d0be85\u001b\\\u001b[4;34m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=51582;https://tidy3d.simulation.cloud/workbench?taskId=fdve-b07a2fbd-078c-48e0-94ad-da5477d0be85\u001b\\\u001b[4;34mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=778803;https://tidy3d.simulation.cloud/workbench?taskId=fdve-b07a2fbd-078c-48e0-94ad-da5477d0be85\u001b\\\u001b[4;34m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=110587;https://tidy3d.simulation.cloud/workbench?taskId=fdve-b07a2fbd-078c-48e0-94ad-da5477d0be85\u001b\\\u001b[4;34mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=778803;https://tidy3d.simulation.cloud/workbench?taskId=fdve-b07a2fbd-078c-48e0-94ad-da5477d0be85\u001b\\\u001b[4;34m-b07a2fbd-07\u001b[0m\u001b]8;;\u001b\\\n", "\u001b[2;36m              \u001b[0m\u001b]8;id=778803;https://tidy3d.simulation.cloud/workbench?taskId=fdve-b07a2fbd-078c-48e0-94ad-da5477d0be85\u001b\\\u001b[4;34m8c-48e0-94ad-da5477d0be85'\u001b[0m\u001b]8;;\u001b\\\u001b[4;34m.\u001b[0m                                       \n"]}, "metadata": {}, "output_type": "display_data"}, {"data": {"application/vnd.jupyter.widget-view+json": {"model_id": "675348d2eb0f4226882cf4c0795315f2", "version_major": 2, "version_minor": 0}, "text/plain": ["Output()"]}, "metadata": {}, "output_type": "display_data"}, {"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>\n"], "text/plain": []}, "metadata": {}, "output_type": "display_data"}, {"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\">13:20:46 CEST </span>loading simulation from data/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.</span>hdf5                               \n", "</pre>\n"], "text/plain": ["\u001b[2;36m13:20:46 CEST\u001b[0m\u001b[2;36m \u001b[0mloading simulation from data/\u001b[1;36m1.\u001b[0mhdf5                               \n"]}, "metadata": {}, "output_type": "display_data"}, {"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\">13:20:48 CEST </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Structure: simulation.structures</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">[</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">]</span><span style=\"color: #800000; text-decoration-color: #800000\"> </span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">(</span><span style=\"color: #800000; text-decoration-color: #800000\">no `name` was       </span>\n", "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><span style=\"color: #800000; text-decoration-color: #800000\">specified</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">)</span><span style=\"color: #800000; text-decoration-color: #800000\"> was detected as being less than half of a central      </span>\n", "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><span style=\"color: #800000; text-decoration-color: #800000\">wavelength from a PML on side x-min. To avoid inaccurate results  </span>\n", "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><span style=\"color: #800000; text-decoration-color: #800000\">or divergence, please increase gap between any structures and PML </span>\n", "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><span style=\"color: #800000; text-decoration-color: #800000\">or fully extend structure through the pml.                        </span>\n", "</pre>\n"], "text/plain": ["\u001b[2;36m13:20:48 CEST\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Structure: simulation.structures\u001b[0m\u001b[1;31m[\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;31m]\u001b[0m\u001b[31m \u001b[0m\u001b[1;31m(\u001b[0m\u001b[31mno `name` was       \u001b[0m\n", "\u001b[2;36m              \u001b[0m\u001b[31mspecified\u001b[0m\u001b[1;31m)\u001b[0m\u001b[31m was detected as being less than half of a central      \u001b[0m\n", "\u001b[2;36m              \u001b[0m\u001b[31mwavelength from a PML on side x-min. To avoid inaccurate results  \u001b[0m\n", "\u001b[2;36m              \u001b[0m\u001b[31mor divergence, please increase gap between any structures and PML \u001b[0m\n", "\u001b[2;36m              \u001b[0m\u001b[31mor fully extend structure through the pml.                        \u001b[0m\n"]}, "metadata": {}, "output_type": "display_data"}, {"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><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Suppressed </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span><span style=\"color: #800000; text-decoration-color: #800000\"> WARNING messages.                           </span>\n", "</pre>\n"], "text/plain": ["\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Suppressed \u001b[0m\u001b[1;36m3\u001b[0m\u001b[31m WARNING messages.                           \u001b[0m\n"]}, "metadata": {}, "output_type": "display_data"}, {"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\">13:20:49 CEST </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Warning messages were found in the solver log. For more  </span>\n", "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><span style=\"color: #800000; text-decoration-color: #800000\">information, check </span><span style=\"color: #008000; text-decoration-color: #008000\">'SimulationData.log'</span><span style=\"color: #800000; text-decoration-color: #800000\"> or use                    </span>\n", "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><span style=\"color: #008000; text-decoration-color: #008000\">'web.download_log(task_id)'</span><span style=\"color: #800000; text-decoration-color: #800000\">.                                      </span>\n", "</pre>\n"], "text/plain": ["\u001b[2;36m13:20:49 CEST\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Warning messages were found in the solver log. For more  \u001b[0m\n", "\u001b[2;36m              \u001b[0m\u001b[31minformation, check \u001b[0m\u001b[32m'SimulationData.log'\u001b[0m\u001b[31m or use                    \u001b[0m\n", "\u001b[2;36m              \u001b[0m\u001b[32m'web.download_log\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m\u001b[31m.                                      \u001b[0m\n"]}, "metadata": {}, "output_type": "display_data"}], "source": ["# running the simulation\n", "results = web.run(\n", "    simulation=sim,\n", "    task_name=\"vortexMetasurface\",\n", "    folder_name=\"data\",\n", "    path=\"data/1.hdf5\",\n", "    verbose=\"True\",\n", ")"]}, {"cell_type": "markdown", "id": "19554817", "metadata": {}, "source": ["### Creating Far-Field Projection\n"]}, {"cell_type": "markdown", "id": "34f526d5", "metadata": {}, "source": ["Now we plot the far-field projections: one done in the cloud using the FarFieldMonitor and the other done locally. It is interesting to note the difference between them, as the projection done in the cloud has the window_size argument set to the default (0,0). Without applying the window filter, high-frequency artifacts appear in the projected field as they need to be truncated. On the other hand, applying the spatial filter leads to a more smooth far-field profile, more in agreement with the experimental results. More information about field projection can be found [here](https://www.flexcompute.com/tidy3d/examples/notebooks/FieldProjections/). Since we are using a Gaussian beam source, the differences between the projections are minimal."]}, {"cell_type": "code", "execution_count": 12, "id": "5409865c-cb65-4464-973a-0fd0a83fc9c6", "metadata": {}, "outputs": [{"data": {"application/vnd.jupyter.widget-view+json": {"model_id": "6af95f9f47a8463f81b680ed21482031", "version_major": 2, "version_minor": 0}, "text/plain": ["Output()"]}, "metadata": {}, "output_type": "display_data"}, {"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>\n"], "text/plain": []}, "metadata": {}, "output_type": "display_data"}], "source": ["# radial distance away from the origin at which to project fields\n", "r_proj = 60 * Wl\n", "\n", "# here we add the 'window_size' argument to ensure that the near fields decay to zero at the monitor boundaries\n", "far_field_local_projection = td.FieldProjectionCartesianMonitor(\n", "    center=(0, 0, monitor_z_position),\n", "    size=(td.inf, td.inf, 0),\n", "    normal_dir=\"+\",\n", "    freqs=[fcen],\n", "    x=1000 * np.linspace(-0.5, 0.5, 100),\n", "    y=1000 * np.linspace(-0.5, 0.5, 100),\n", "    proj_axis=2,\n", "    proj_distance=r_proj,\n", "    far_field_approx=False,\n", "    window_size=(0.5, 0.5),\n", "    name=\"farFieldLocalProjection\",\n", ")\n", "\n", "projector = td.FieldProjector.from_near_field_monitors(\n", "    sim_data=results,\n", "    near_monitors=[field_monitor],\n", "    normal_dirs=[\"+\"],\n", "    pts_per_wavelength=10,\n", ")\n", "projected = projector.project_fields(far_field_local_projection)\n", "far_field = projected.fields_cartesian"]}, {"cell_type": "code", "execution_count": 13, "id": "8ccb84f5-b036-4e5e-883a-f10e3e684381", "metadata": {}, "outputs": [{"data": {"image/png": 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", "text/plain": ["<Figure size 800x380 with 4 Axes>"]}, "metadata": {}, "output_type": "display_data"}], "source": ["# also plot the projected fields from the FarFieldMonitor\n", "fig, Ax = plt.subplots(1, 2, tight_layout=True, figsize=(8, 3.8))\n", "\n", "abs(results[\"farFieldMon\"].fields_cartesian[\"Ey\"]).plot(cmap=\"inferno\", ax=Ax[0])\n", "Ax[0].set_title(\"window_size = (0,0)\")\n", "\n", "\n", "# plotting only the cross-polarized component (Ey). In the experiments, a polarizer was used to block the\n", "# scattered light with the same polarization as the incident wave.\n", "\n", "# visualizing the electric field\n", "abs(far_field[\"Ey\"]).plot(cmap=\"inferno\", ax=Ax[1])\n", "Ax[1].set_title(\"window_size = (0.5,0.5)\")\n", "plt.show()"]}, {"cell_type": "markdown", "id": "a58a5b5f", "metadata": {}, "source": ["One can note that the results are consistent with those reported in the original [paper](https://projects.iq.harvard.edu/files/capasso/files/2011_yu_et_al._science.pdf), specifically in Figure 5(c)\n", "\n", "Both the simulation and the experiment reveal the formation of a phase singularity at the center of the beam, leading to a region of zero field.\n", "\n", "To obtain the phase profile, you can interfere the beam with a collinear Gaussian beam. To reproduce this, use the analytical expression for the Gaussian beam to create an interference pattern with the simulated beam."]}, {"cell_type": "code", "execution_count": 14, "id": "24ec4a2b", "metadata": {}, "outputs": [{"data": {"image/png": 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", "text/plain": ["<Figure size 640x480 with 1 Axes>"]}, "metadata": {}, "output_type": "display_data"}], "source": ["# gaussian beam function\n", "def E(r, z, lda=1, E0=1, w0=1, n=1):\n", "    k = 2 * np.pi / lda\n", "    zr = np.pi * w0**2 * n / lda\n", "    wz = w0 * np.sqrt(1 + (z / zr) ** 2)\n", "    Rz = z * (1 + (zr / z) ** 2)\n", "    phi = np.arctan(z / zr)\n", "\n", "    return (\n", "        E0\n", "        * (w0 / wz)\n", "        * np.exp(-(r**2) / (wz**2))\n", "        * np.exp(-1j * (k * z + k * r**2 / (2 * Rz) - phi))\n", "    )\n", "\n", "\n", "# creating the data points\n", "x = np.linspace(-40, 40, 100)\n", "y = x.copy()\n", "\n", "X, Y = np.meshgrid(x, y)\n", "r = np.sqrt(X**2 + Y**2)\n", "\n", "# creating the gaussian beam field\n", "gb = E(r, 1, 8, w0=20)\n", "\n", "# plotting the interference pattern\n", "fig, ax = plt.subplots()\n", "ax.imshow(\n", "    abs(\n", "        results[\"farFieldMon\"].fields_cartesian[\"Ey\"].squeeze().T\n", "        / results[\"farFieldMon\"].fields_cartesian[\"Ey\"].max()\n", "        + gb\n", "    ),\n", "    interpolation=\"bilinear\",\n", "    cmap=\"inferno\",\n", ")\n", "ax.axis(\"off\")\n", "plt.show()"]}, {"cell_type": "markdown", "id": "4b90a2cb", "metadata": {}, "source": ["Again, the simulation is consistent with the results reported in Figure 5(e) of the paper."]}], "metadata": {"description": "This notebook demonstrates how to run an FDTD simulation of a vortex metasurface using Tidy3D.", "feature_image": "./img/vortexMetasurface_1.png", "kernelspec": {"display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3"}, "keywords": "metasurface, metamaterial, vortex beam, phase-shifter, planar optics, Tidy3D, FDTD", "language_info": {"codemirror_mode": {"name": "ipython", "version": 3}, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.11.12"}, "title": "How to model a vortex metasurface using Tidy3D | Flexcompute", "widgets": {"application/vnd.jupyter.widget-state+json": {"state": {"12041bf2f44b404aad1096131c64adfb": {"model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "2.0.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "2.0.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border_bottom": null, "border_left": null, "border_right": null, "border_top": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": 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style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Computing projected fields <span style=\"color: #729c1f; text-decoration-color: #729c1f\">\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501</span> <span style=\"color: #800080; text-decoration-color: #800080\">100%</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:00:46</span>\n</pre>\n", "text/plain": "Computing projected fields \u001b[38;2;114;156;31m\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u001b[0m \u001b[35m100%\u001b[0m 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"\u001b[32m\ud83d\udeb6 \u001b[0m \u001b[1;32mWaiting for 'vortexMetasurface'...\u001b[0m\n"}, "metadata": {}, "output_type": "display_data"}], "tabbable": null, "tooltip": null}}, "5cfd3f3b329c4f978325d8f4465b5f3b": {"model_module": "@jupyter-widgets/output", "model_module_version": "1.0.0", "model_name": "OutputModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/output", "_model_module_version": "1.0.0", "_model_name": "OutputModel", "_view_count": null, "_view_module": "@jupyter-widgets/output", "_view_module_version": "1.0.0", "_view_name": "OutputView", "layout": "IPY_MODEL_64c45bc3ec8c42b7b5f765d301266044", "msg_id": "", "outputs": [{"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: #800000; text-decoration-color: #800000; font-weight: bold\">\u2191</span> <span style=\"color: #000080; text-decoration-color: #000080; font-weight: bold\">simulation.hdf5.gz</span> <span style=\"color: #729c1f; text-decoration-color: #729c1f\">\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501</span> <span style=\"color: #800080; text-decoration-color: #800080\">100.0%</span> \u2022 <span style=\"color: #008000; text-decoration-color: #008000\">6.6/6.6 kB</span> \u2022 <span style=\"color: #800000; text-decoration-color: #800000\">?</span> \u2022 <span style=\"color: #008080; text-decoration-color: #008080\">0:00:00</span>\n</pre>\n", "text/plain": "\u001b[1;31m\u2191\u001b[0m \u001b[1;34msimulation.hdf5.gz\u001b[0m \u001b[38;2;114;156;31m\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u001b[0m \u001b[35m100.0%\u001b[0m \u2022 \u001b[32m6.6/6.6 kB\u001b[0m \u2022 \u001b[31m?\u001b[0m \u2022 \u001b[36m0:00:00\u001b[0m\n"}, 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style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">solver progress (field decay = 1.27e-04) <span style=\"color: #f92672; text-decoration-color: #f92672\">\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501</span><span style=\"color: #3a3a3a; text-decoration-color: #3a3a3a\">\u257a\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501</span> <span style=\"color: #800080; text-decoration-color: #800080\"> 44%</span> <span style=\"color: #008080; text-decoration-color: #008080\">-:--:--</span>\n</pre>\n", "text/plain": "solver progress (field decay = 1.27e-04) \u001b[38;2;249;38;114m\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u001b[0m\u001b[38;5;237m\u257a\u001b[0m\u001b[38;5;237m\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u001b[0m \u001b[35m 44%\u001b[0m \u001b[36m-:--:--\u001b[0m\n"}, "metadata": {}, 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style=\"color: #000080; text-decoration-color: #000080; font-weight: bold\">simulation.hdf5.gz</span> <span style=\"color: #729c1f; text-decoration-color: #729c1f\">\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501</span> <span style=\"color: #800080; text-decoration-color: #800080\">100.0%</span> \u2022 <span style=\"color: #008000; text-decoration-color: #008000\">6.6/6.6 kB</span> \u2022 <span style=\"color: #800000; text-decoration-color: #800000\">?</span> \u2022 <span style=\"color: #008080; text-decoration-color: #008080\">0:00:00</span>\n</pre>\n", "text/plain": "\u001b[1;31m\u2191\u001b[0m \u001b[1;34msimulation.hdf5.gz\u001b[0m \u001b[38;2;114;156;31m\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u001b[0m \u001b[35m100.0%\u001b[0m \u2022 \u001b[32m6.6/6.6 kB\u001b[0m \u2022 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