Frequency-domain photonic simulation and inverse design optimization for linear and nonlinear devices
Reimplementations of some normalizing flow algorithms using tensorflow 2.1 and tensorflow probability 0.9
A shock-capturing adjoint solver for the compressible flow equations
Gentle introduction and demo of the adjoint variable method for electromagnetic inverse design
is a tiny library for topology optimization using Lattice Boltzmann method (LBM).
Neural ODEs as Feedback Policies for Nonlinear Optimal Control (IFAC 2023) https://doi.org/10.1016/j.ifacol.2023.10.1248
Differentiable interface to FEniCS/Firedrake for JAX using dolfin-adjoint/pyadjoint
Workshop materials for training in scientific computing and scientific machine learning
Create animations, plots, and calculate summary statistics for MITgcm adjoint output
msThesis
Julia interface to MITgcm
[NeurIPS 2024] Official PyTorch implementation for the paper "AdjointDEIS: Efficient Gradients for Diffusion Models"
MACH: MDO of Aircraft Configurations with High fidelity
Advanced Multilanguage Interface to CVODES and IDAS
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