Electromagnetics Platform

Electromagnetics Platform#

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Tidy3D is a software package for solving extremely large electrodynamics problems using the finite-difference time-domain (FDTD) method. It can be controlled through either an open source python package or a web-based graphical user interface.

This python API allows you to:

  • Programmatically define FDTD simulations.

  • Submit and manage simulations running on Flexcompute’s servers.

  • Download and postprocess the results from the simulations.

Get Started#

Install the latest stable python library tidy3d for creating, managing, and postprocessing simulations with

pip install --user tidy3d

Next, configure your tidy3d package with the API key from your account.

Get your free API key

tidy3d configure --apikey=XXX

For more detailed installation instructions, see this page, and refer to Configuration Guide ⚙️ if you would like to fine-tune your settings.

Quick Example#

Start running simulations with just a few lines of code. Run this sample code to simulate a 3D dielectric box in Tidy3D and plot the corresponding field pattern.

# !pip install tidy3d # if needed, install tidy3d in a notebook by uncommenting this line

# import the tidy3d package and configure it with your API key
import numpy as np
import tidy3d as td
import tidy3d.web as web
# web.configure("YOUR API KEY") # if authentication needed, uncomment this line and paste your API key here

# set up global parameters of simulation ( speed of light / wavelength in micron )
freq0 = td.C_0 / 0.75

# create structure - a box centered at 0, 0, 0 with a size of 1.5 micron and permittivity of 2
square = td.Structure(
    geometry=td.Box(center=(0, 0, 0), size=(1.5, 1.5, 1.5)),
    medium=td.Medium(permittivity=2.0)
)

# create source - A point dipole source with frequency freq0 on the left side of the domain
source = td.PointDipole(
    center=(-1.5, 0, 0),
    source_time=td.GaussianPulse(freq0=freq0, fwidth=freq0 / 10.0),
    polarization="Ey",
)

# create monitor - Measures electromagnetic fields within the entire domain at z=0
monitor = td.FieldMonitor(
    size=(td.inf, td.inf, 0),
    freqs=[freq0],
    name="fields",
    colocate=True,
)

# Initialize simulation - Combine all objects together into a single specification to run
sim = td.Simulation(
    size=(4, 3, 3),
    grid_spec=td.GridSpec.auto(min_steps_per_wvl=25),
    structures=[square],
    sources=[source],
    monitors=[monitor],
    run_time=120/freq0,
)

print(f"simulation grid is shaped {sim.grid.num_cells} for {int(np.prod(sim.grid.num_cells)/1e6)} million cells.")

# run simulation through the cloud and plot the field data computed by the solver and stored in the monitor
data = td.web.run(sim, task_name="quickstart", path="data/data.hdf5", verbose=True)
ax = data.plot_field("fields", "Ey", z=0)

This will produce the following plot, which visualizes the electromagnetic fields on the central plane.

_images/quickstart_fields.png

You can now postprocess simulation data using the same python session, or view the results of this simulation on our web-based graphical user interface (GUI).

Caching for repeated simulations

Repeated runs of the same simulation can reuse solver results by enabling the local cache: td.config.local_cache.enabled = True. You may configure the cache directory with local_cache.directory. If the number of entries (local_cache.max_entries) or the storage size (local_cache.max_size_gb) is exceeded, cache entries are evicted by least-recently-used (LRU) order. You can clear all stored artifacts with td.web.cache.clear(). Additionally, there is server-side caching controlled via td.config.web.enable_caching (enabled by default). While this can avoid recomputation on the server, it still requires upload/download of results which is why we recommend enabling the local cache.

Our Ecosystem#

tidy3d is part of an interoperable ecosystem of electromagnetic design tools. You can interface with the tools through the python APIs and the graphical user interfaces.

Online Learning Center

Tidy3D Learning Center

https://www.flexcompute.com/tidy3d/learning-center/tidy3d-gui/

Photonic Integrated Circuits Design

Photonforge

https://docs.flexcompute.com/projects/photonforge/en/latest/

Access the graphical user interface & account management.

Tidy3D GUI

https://tidy3d.simulation.cloud

Further Information#

Join Our Team#

Do you enjoy using tidy3d or photonforge? Do you want to help us create the best electromagnetic design tools? We are looking for talented developers to join our team.

A good way to get an interview with us is to fix an open issue within our open-source python client. Choose a task where you can feel you can demonstrate your skillset, and get us involved whilst you implement it for feedback and to see how it goes working together. If you don’t know where to start, we recommend the issues labelled “good first issue”.

We look forward to your contributions!

Github Repositories#

Name

Repository

Source Code

flexcompute/tidy3d

Example Notebooks

flexcompute/tidy3d-notebooks

FAQ Source Code

flexcompute/tidy3d-faq

These repositories are a very good way to interact with the relevant tool developers. We encourage you to ask questions or request features through the “Discussions” or “Issues” tabs of each repository accordingly.

Contents#

Contents