Frequency-domain photonic simulation and inverse design optimization for linear and nonlinear devices
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Updated
Dec 14, 2019 - Python
Frequency-domain photonic simulation and inverse design optimization for linear and nonlinear devices
MACH: MDO of Aircraft Configurations with High fidelity
Advanced Multilanguage Interface to CVODES and IDAS
Differentiable interface to FEniCS/Firedrake for JAX using dolfin-adjoint/pyadjoint
Workshop materials for training in scientific computing and scientific machine learning
Julia interface to MITgcm
Gentle introduction and demo of the adjoint variable method for electromagnetic inverse design
Neural ODEs as Feedback Policies for Nonlinear Optimal Control (IFAC 2023) https://doi.org/10.1016/j.ifacol.2023.10.1248
is a tiny library for topology optimization using Lattice Boltzmann method (LBM).
A shock-capturing adjoint solver for the compressible flow equations
Reimplementations of some normalizing flow algorithms using tensorflow 2.1 and tensorflow probability 0.9
Create animations, plots, and calculate summary statistics for MITgcm adjoint output
msThesis
[NeurIPS 2024] Official PyTorch implementation for the paper "AdjointDEIS: Efficient Gradients for Diffusion Models"
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