adjoint
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🦐 Electromagnetic Simulation + Automatic Differentiation
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Jul 6, 2023 - Python
A component of the DiffEq ecosystem for enabling sensitivity analysis for scientific machine learning (SciML). Optimize-then-discretize, discretize-then-optimize, adjoint methods, and more for ODEs, SDEs, DDEs, DAEs, etc.
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Feb 19, 2026 - Julia
DAFoam: Discrete Adjoint with OpenFOAM for High-fidelity Multidisciplinary Design Optimization
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Feb 4, 2026 - C
TCLB - Templated MPI+CUDA/CPU Lattice Boltzmann code
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Nov 27, 2025 - C++
Frequency-domain photonic simulation and inverse design optimization for linear and 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
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Jan 14, 2026 - Julia
Julia interface to MITgcm
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Jan 18, 2026 - 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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Dec 16, 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
Adjoint-based optimization and inverse design of photonic devices.
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Aug 22, 2019 - TeX
Automatic differentiation of FEniCS and Firedrake models in Julia
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Mar 21, 2021 - Julia
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
Goal Oriented Adaptive Lagrangian Mechanics
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Dec 9, 2021 - C++
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