🦐 Electromagnetic Simulation + Automatic Differentiation
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Updated
Jul 6, 2023 - Python
🦐 Electromagnetic Simulation + Automatic Differentiation
Frequency-domain photonic simulation and inverse design optimization for linear and nonlinear devices
A suite of photonic inverse design challenge problems for topology optimization benchmarking
Differentiable interface to FEniCS for JAX
Goal-oriented error estimation and mesh adaptation for finite element problems solved using Firedrake
A library for high-level algorithmic differentiation
1D Heat Equation Model Problem for Field Inversion and Machine Learning Demonstration
An adjointable cardiac mechanics data assimilator.
Easy interoperability with Automatic Differentiation libraries through NumPy interface to FEniCS adjoint
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