Innovative, efficient, and computational-graph-based finite element simulator for inverse modeling
DPFEHM: A Differentiable Subsurface Flow Simulator
Workshop materials for training in scientific computing and scientific machine learning
High-order multiphase/multi-physics flow solver
Surface wave Adjoint Travel-time Tomography
Adjoint-state based AVO Inversion Method
An electromagnetic solver capable of simulating and optimizing 1D (thin-layer) structures via the semi-analytical transfer matrix method. For example, one can simulate and optimize broadband distributed Bragg reflectors, anti-reflection coatings, optical bandpass filters, and photovoltaic devices.
Leibniz is a python package which provide facilities to express learnable partial differential equations with PyTorch
is a tiny library for topology optimization using Lattice Boltzmann method (LBM).
Traveltime computations by solving the eikonal equation in 2D and 3D and related gradients for tomography
Acoustic and elastic seismic wave propagation and gradients (using the adjoint method).
Automatic Differentiation + Adjoint + Shocks Experiments
[NeurIPS 2024] Official PyTorch implementation for the paper "AdjointDEIS: Efficient Gradients for Diffusion Models"
Opt4Deck is a unified optimization platform that integrates linear, nonlinear, evolutionary, and dynamic methods into a coherent and transparent environment. Designed for engineers and researchers, it provides clear methodology, computation transparency, and practical tools for reliably solving complex optimization problems.
Data-driven discovery of PDEs using the Adjoint method
A playground for system identification algorithms using JAX.
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