Skip to main content

3D efficient solver for multi-stacked in-plane periodic structures using rcwa.

Project description

InkSlab

InkSlab simulates the electromagnetic properties of 3D and 2D multi-layered structures with in-plane periodicicy, such as gratings, photonic-crystal slabs, metasurfaces, vertical-cavity or photonic-crystal surface emitting lasers (VCSEL, PCSEL), (patterned) solar cells, nano-antennas, and more.

Internally, InkSlab implements rigurous couled-wave analysis (RCWA), a. k. a. Fourier Modal Method (FMM).

InkSlab can calculate:

  • the reflection, transmission, and the absorption of the structure
  • the total and by-order power fluxes of the propagating and the evanescent waves in each layer
  • electric and magnetic field amplitudes at any locations in the structure,
  • band-structures based on the determinant of the scattering matrix of the structure.

Features of InkSlab:

  • It supports efficient and flexible parameter-scanning. You can change part of your sturcture such as the shapes and sizes of some patterns, or some material parameters. InkSlab only recalculates the modified parts and produces the final results efficiently.
  • It allows both tensorial permittivities and tensorial permeabilities, such as in anisotropic, magneto-optical, or gyromagnetic materials.
  • It can calculate the determinant of the scattering matrix on the complex frequency plane.
  • Pre-defined shapes of patterns can be used, including rectangular, parallelogram, disk, ellipse, 1D, and polygons. Closed-form Fourier transforms and corrections for Gibbs phenomena are implemented.
  • It is fully 3D.
  • It is written in pure python, with heavy-lifting done in numpy and scipy.

Quick Start

Installation:

$ pip install InkSlab

Or,

$ git clone git://github.com/alexsong/InkSlab
$ pip install .

Usage

The examples folder contains various self-explaining examples to get you started.

Dependencies

  • python 3.6+
  • numpy
  • scipy

Units, conventions, and definitions

Unit system

We adopt a natural unit system, where vacuum permittivity, permeability, and light speed are $\varepsilon_0=\mu_0=c_0=1$.

Sign convention

Sign conventions in electromagnetic waves: $$e^{i(kx-\omega t)}$$ where $k$ is the wavevector, $x$ is spatial location, $\omega$ is frequency, $t$ is time.

By this convention, a permittivity of $\varepsilon_r + i\varepsilon_i$ with $\varepsilon_i>0$ means material loss, and $\varepsilon_i<0$ means material gain.

Coordinates and incident angles

drawing

(InkSlab, Incident $\bm{k}$ on slabs.)

Citing

If you find InkSlab useful for your research, we would apprecite you citing our paper. For your convenience, you can use the following BibTex entry:

@article{song2018broadband,
  title={Broadband Control of Topological Nodes in Electromagnetic Fields},
  author={Song, Alex Y and Catrysse, Peter B and Fan, Shanhui},
  journal={Physical review letters},
  volume={120},
  number={19},
  pages={193903},
  year={2018},
  publisher={American Physical Society}
}

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

inkslab-0.1.0.tar.gz (37.7 kB view details)

Uploaded Source

Built Distribution

inkslab-0.1.0-py3-none-any.whl (59.7 kB view details)

Uploaded Python 3

File details

Details for the file inkslab-0.1.0.tar.gz.

File metadata

  • Download URL: inkslab-0.1.0.tar.gz
  • Upload date:
  • Size: 37.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.6.8

File hashes

Hashes for inkslab-0.1.0.tar.gz
Algorithm Hash digest
SHA256 3338d99a3ef6b56baf849d05c270e09b21db791bed8fa42d2b7ea386b085e7ef
MD5 6bc72542b3f9a57592cca9a62a46972b
BLAKE2b-256 8e3dbd7bf0b1c33f8b7291d39c8ae534dc5aeeb87131dedfb50a8e33384c9370

See more details on using hashes here.

File details

Details for the file inkslab-0.1.0-py3-none-any.whl.

File metadata

  • Download URL: inkslab-0.1.0-py3-none-any.whl
  • Upload date:
  • Size: 59.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.6.8

File hashes

Hashes for inkslab-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 031a88c1df491a94ca02e2fd3e94ae5801c0f460432232d4131992b38db03d02
MD5 fd820eca0e35b5a585a52a9515500bad
BLAKE2b-256 38b6b615bdd3049845f67a40dde0797c91436933fbe57f81b7678d830c26425e

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page