A simple implementation of mass-spring system for cloth simulation in C++

A framework for physics-based rendering of underwater images using Mitsuba 0.6 This work is part of simulation work done in[1]. [1] Adi Vainiger, Yoav Y. Schechner, Tali Treibitz, Aviad Avni, and David S. Timor, "Optical wide-field tomography of sediment resuspension," Opt. Express 27, A766-A778 (2019) https://opg.optica.org/oe/abstract.cfm?uri=o

PySB add-on providing utilities to add units to models and perform dimensional analysis.

Evolutionary algorithm research on a neural network physics-based car controller

Uses SFML for a compact physics simulation illustrating elastic collisions in C++.

A real-time 3D simulation of submarine navigation and physics

CPSC 526 final project - fall 2017

Source code used in simulations for the paper "A Framework for Automatic Behavior Generation in Multi-Function Swarms" accepted by Frontiers in Robotics and AI Oct. 2020.

A Python package describing Stochastic Nucleation of Water in vials

A free online book on the theory and algorithms of physics-based simulations. To make a contribution, please submit pull requests on the mdbook-src repository (not this one), or directly contact the authors.

A curated set of C++ examples for optimization-based elastodynamic contact simulation using CUDA, emphasizing algorithmic convergence, penetration-free, and inversion-free conditions. Designed for readability and understanding, this tutorial helps beginners learn how to write simple GPU code for efficient solid simulations.

Knowledge hub to share and learn the state-of-the-art developments in computer graphics.

Numerical integration methods for mass-springs systems using PyTorch's autodiff

The mdbook source of a free online book on the theory and algorithms of physics-based simulations. You are welcome to make contributions by submitting pull requests or directly contacting the authors.

Hookean springs in PyTorch

An energy-based formulation for soft-bodied virtual creatures

A curated collection of Python examples for optimization-based solid simulation, emphasizing algorithmic convergence, penetration-free, and inversion-free conditions, designed for readability and understanding.

[SIGGRAPH Asia 2022] Assemble Them All: Physics-Based Planning for Generalizable Assembly by Disassembly