An adjointable cardiac mechanics data assimilator.
-
Updated
Mar 31, 2021 - Python
An adjointable cardiac mechanics data assimilator.
Easy interoperability with Automatic Differentiation libraries through NumPy interface to FEniCS adjoint
1D Heat Equation Model Problem for Field Inversion and Machine Learning Demonstration
Goal-oriented error estimation and mesh adaptation for finite element problems solved using Firedrake
A library for high-level algorithmic differentiation
Differentiable interface to FEniCS for JAX
A suite of photonic inverse design challenge problems for topology optimization benchmarking
Frequency-domain photonic simulation and inverse design optimization for linear and nonlinear devices
🦐 Electromagnetic Simulation + Automatic Differentiation
Add a description, image, and links to the adjoint topic page so that developers can more easily learn about it.
To associate your repository with the adjoint topic, visit your repo's landing page and select "manage topics."