dongcheonkim / emopt

A suite of tools for optimizing the shape and topology of electromagnetic structures.

EMopt

A toolkit for shape (and topology) optimization of 2D and 3D electromagnetic structures.

EMopt offers a suite of tools for simulating and optimizing electromagnetic structures. It includes 2D and 3D finite difference frequency domain solvers, 1D and 2D mode solvers, a flexible and easily extensible adjoint method implementation, and a simple wrapper around scipy.minimize. Out of the box, it provides just about everything needed to apply cutting-edge inverse design techniques to your electromagnetic devices.

A key emphasis of EMopt's is shape optimization. Using boundary smoothing techniques, EMopt allows you to compute sensitivities (i.e. gradient of a figure of merit with respect to design variables which define an electromagnetic device's shape) with very high accuracy. This allows you to easily take adavantage of powerful minimization techniques in order to optimize your electromagnetic device.

Documentation

Details on how to install and use EMopt can be found on readthedocs. Check this link periodically as the documentation is constantly being improved and examples added.

Authors

Andrew Michaels

License

EMOpt is currently released under the GPL license (see LICENSE.md for details)

References

The methods employed by EMOpt are described in:

A. Michaels and E. Yablonovitch, “Gradient-Based Inverse Electromagnetic Design Using Continuously-Smoothed Boundaries,” Arxiv (2017).