Innovative, efficient, and computational-graph-based finite element simulator for inverse modeling
Workshop materials for training in scientific computing and scientific machine learning
DPFEHM: A Differentiable Subsurface Flow Simulator
High-order multiphase/multi-physics flow solver
Leibniz is a python package which provide facilities to express learnable partial differential equations with PyTorch
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.
Adjoint-state based AVO Inversion Method
Surface wave Adjoint Travel-time Tomography
is a tiny library for topology optimization using Lattice Boltzmann method (LBM).
Automatic Differentiation + Adjoint + Shocks Experiments
msThesis
[NeurIPS 2024] Official PyTorch implementation for the paper "AdjointDEIS: Efficient Gradients for Diffusion Models"
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