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bjut

cppadwrapper

differentiablegeodesics

Code for our Siggraph 24 Paper Differentiable Geodesic Distance for Intrinsic Minimization on Triangle Meshes

leto

LETO is a new hybrid Lagrangian-Eulerian method for topology optimization. It transfers density information from movable Lagrangian carriers to a fixed set of Eulerian quadratures and solves force equilibrium with MPM. With carrier particles as design variables, LETO reparameterizes the Eulerian solution space in a Lagrangian view.

liyuesolo.github.io

neuralmetamaterialnetwork

Cpp and python code for our SIGGRPAH Asia 2023 paper Neural Metamaterial Network for Nonlinear Material Design

ntopo-1

A Mesh-free Topology Optimization Method using Neural Representations

programmabledigitalweaves

Cpp and GCode for Programmable Digital Weaves

rcm_on_meshes

suitesparse

The official SuiteSparse library: a suite of sparse matrix algorithms authored or co-authored by Tim Davis, Texas A&M University.

template-ieee-transactions

wukong2024

Research Codebase | Constantly Updating