Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

https://github.com/stanfordnqp/spins-b

Photonic optimization library
https://github.com/stanfordnqp/spins-b

Last synced: 2 months ago
JSON representation

Photonic optimization library

Lists

README 

        
[![pypi](https://img.shields.io/pypi/v/spins)](https://pypi.org/project/spins/)

[![black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)

[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/stanfordnqp/spins-b/HEAD)

[![image](https://codecov.io/gh/stanfordnqp/spins-b/branch/master/graph/badge.svg)](https://codecov.io/gh/stanfordnqp/spins-b)



# SPINS-B 0.0.2



SPINS-B is the open source version of

[SPINS](https://stanford.resoluteinnovation.com/technologies/S18-012_spins-inverse-design-software-for),

a framework for gradient-based (adjoint) photonic optimization developed

over the past decade at Jelena Vuckovic\'s [Nanoscale and Quantum

Photonics Lab](http://nqp.stanford.edu) at Stanford University. The full

version can be licensed through the [Stanford Office of Technology and

Licensing](https://techfinder.stanford.edu/technology_detail.php?ID=42383)

(see FAQ).



The overall architecture is explained in our paper [Nanophotonic Inverse

Design with SPINS: Software Architecture and Practical

Considerations](https://arxiv.org/abs/1910.04829).



## Documentation



[Documentation](http://spins-b.readthedocs.io) is continually updated over time.



## SPINS Photonics Inc



We launched [SPINS Photonics Inc](https://www.spinsphotonics.com/) to bring inverse design to commercial nanophotonic products!



## Installation



You can install from [pypi](https://pypi.org/project/spins/)



```

pip install spins

```



Or you can install the development version if you plan to contribute



```

git clone https://github.com/stanfordnqp/spins-b.git

cd spins-b

make install

```



## Features



- Gradient-based (adjoint) optimization of photonic devices

- 2D and 3D device optimization using finite-difference

  frequency-domain (FDFD)

- Support for custom objective functions, sources, and optimization

  methods

- Automatically save design methodology and all hyperparameters used

  in optimization for reproducibility



## Upcoming Features



We are protoyping the next version of SPINS-B. This version of SPINS-B

will support these new features:



- Co-optimization of multiple device regions simulataneously

- Integration with FDTD and other electromagnetic solvers

- Easier to use and extend



## Overview



Traditional nanophotonic design typically relies on parameter sweeps,

which are expensive both in terms of computation power and time, and

restrictive in their parameter space. Likewise, completely blackbox

optimization algorithms, such as particle swarm and genetic algorithms,

are also highly inefficient. In both these cases, the computational

costs limit the degrees of the freedom of the design to be quite small.

In contrast, by leveraging gradient-based optimization methods, our

nanophotonic inverse design algorithms can efficiently optimize

structures with tens of thousands of degrees of freedom. This enables

the algorithms to explore a much larger space of structures and

therefore design devices with higher efficiencies, smaller footprint,

and novel functionalities.



## Publications



Any publications resulting from the use of this software should

acknowledge SPINS-B and cite the following papers:



For general device optimization:



- Su et al. Nanophotonic Inverse Design with SPINS: Software

  Architecture and Practical Considerations. _arXiv:1910.04829_

  (2019).



For grating coupler optimization:



- Su et al. Fully-automated optimization of grating couplers. _Opt.

  Express_ (2018).

- Sapra et al. Inverse design and demonstration of broadband grating

  couplers. _IEEE J. Sel. Quant. Elec._ (2019).