🦐 Electromagnetic Simulation + Automatic Differentiation
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Jul 6, 2023 - Python
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adjoint
Here are 30 public repositories matching this topic...
A component of the DiffEq ecosystem for enabling 10000 sensitivity analysis for scientific machine learning (SciML). Optimize-then-discretize, discretize-then-optimize, adjoint methods, and more for ODEs, SDEs, DDEs, DAEs, etc.
ode dde differential-equations differentialequations sde dae sensitivity-analysis hacktoberfest adjoint backpropogation neural-ode scientific-machine-learning neural-sde sciml
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Apr 25, 2025 - Julia
DAFoam: Discrete Adjoint with OpenFOAM for High-fidelity Multidisciplinary Design Optimization
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Apr 23, 2025 - C
Frequency-domain photonic simulation and inverse design optimization for linear and nonlinear devices
simulation optimization solver optics sensitivity-analysis inverse-problems frequency-domain electromagnetic mkl adjoint photonics adjoint-sensitivities fdfd nonlinear-devices
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Dec 14, 2019 - Python
A suite of photonic inverse design challenge problems for topology optimization benchmarking
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Jan 20, 2024 - Python
Differentiable interface to FEniCS/Firedrake for JAX using dolfin-adjoint/pyadjoint
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Nov 12, 2023 - Jupyter Notebook
Differentiable interface to FEniCS for JAX
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May 30, 2021 - Python
Workshop materials for training in scientific computing and scientific machine learning
workshop ode scientific-computing differential-equations sde inverse-problems adjoint odes ode-solver adjoint-sensitivities odeint differential-equations-solvers adjoint-method scientific-machine-learning sciml
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May 6, 2024 - Julia
Julia interface to MITgcm
climate model ocean particles transport ocean-modelling climate-model ecology climate-science adjoint adjoint-sensitivities ocean-sciences biogeochemistry tracers seaice
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Apr 28, 2025 - Julia
A Pytorch implementation of the radon operator and filtered backprojection with, except for a constant, adjoint radon operator and backprojection.
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May 31, 2023 - Jupyter Notebook
A library for high-level algorithmic differentiation
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Mar 26, 2025 - Python
Reverse-mode automatic differentiation with delimited continuations
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Jul 3, 2023 - Haskell
Differentiable interface to Firedrake for JAX
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Feb 28, 2021
Automatic differentiation of FEniCS and Firedrake models in Julia
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Mar 21, 2021 - Julia
Adjoint-based optimization and inverse design of photonic devices.
thesis optimization thesis-template phd-thesis electromagnetics inverse-problems adjoint photonics nanophotonics
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Aug 22, 2019 - TeX
Goal-oriented error estimation and mesh adaptation for finite element problems solved using Firedrake
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Dec 5, 2023 - Python
Python package for solving implicit heat conduction
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Mar 18, 2021 - Jupyter Notebook
Approximation algorithm to solve Optimal Control problems using the Adjoint Method. Assumes your controller is based on a parametric model. Uses Forward-Backward-Sweep adjoint method.
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Sep 5, 2017 - C++
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