Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.

Multi-Joint dynamics with Contact. A general purpose physics simulator.

A multi core friendly rigid body physics and collision detection library. Written in C++. Suitable for games and VR applications. Used by Horizon Forbidden West and Death Stranding 2.

Real-time multi-physics simulation with an emphasis on medical simulation.

A coupling library and ecosystem for partitioned multi-physics and multi-scale simulations, including surface and volume coupling.

A physics-based multi-material FDM color system. Converts images to full-color 3D prints via calibrated light-transmission mixing. Supports 2-8 color systems with slicer-ready 3MF export (BambuStudio/OrcaSlicer).

High-performance multi-material continuum physics engine in Taichi

VMAS is a vectorized differentiable simulator designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of a vectorized 2D physics engine written in PyTorch and a set of challenging multi-robot scenarios. Additional scenarios can be implemented through a simple and modular interface.

SPHinXsys provides C++ APIs for engineering simulation and optimization. It aims at complex systems driven by fluid, structure, multi-body dynamics and beyond. The multi-physics library is based on a unique and unified computational framework by which strong coupling has been achieved for all involved physics.

C++ FEM library | user-friendly | multi-physics | hp-adaptive | HPC

The object-oriented HPC platform for CFD, plasma and multi-physics simulations whose development started in 2002 at the Von Karman Institute for Fluid Dynamics is finally open!

A flyweight in situ visualization and analysis runtime for multi-physics HPC simulations

Code for paper "Multiple Physics Pretraining for Physical Surrogate Models

Phaser 3 - Real-Time Multiplayer example with Physics (MatterJS and Arcade)

SpECTRE is a code for multi-scale, multi-physics problems in astrophysics and gravitational physics.

Düsseldorf Advanced Material Simulation Kit (Read-only mirror)

Moving structures powered by a custom multi-threaded physics engine; in Minecraft.

OpenFOAM-preCICE adapter

An open large-scale dataset for training high-resolution physics emulators in hybrid multi-scale climate simulators.

HORSES3D: A high-order discontinuous Galerkin solver for flow simulations and multi-physics applications

We discuss nonlinear model predictive control (NMPC) for multi-body dynamics via physics-informed machine learning methods. Physics-informed neural networks (PINNs) are a promising tool to approximate (partial) differential equations. PINNs are not suited for control tasks in their original form since they are not designed to handle variable control actions or variable initial values. We thus present the idea of enhancing PINNs by adding control actions and initial conditions as additional network inputs. The high-dimensional input space is subsequently reduced via a sampling strategy and a zero-hold assumption. This strategy enables the controller design based on a PINN as an approximation of the underlying system dynamics. The additional benefit is that the sensitivities are easily computed via automatic differentiation, thus leading to efficient gradient-based algorithms. Finally, we present our results using our PINN-based MPC to solve a tracking problem for a complex mechanical system, a multi-link manipulator.

Various tutorial cases for the coupling library preCICE with real solvers. These files are meant to be rendered on precice.org, so don't look at the README files here.

Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed computing

Generative Adversarial Networks for High Energy Physics extended to a multi-layer calorimeter simulation

Comsol Multiphysics implementation of phase-field cohesive zone models for fracture in various multi-physics problems

Code for the paper MultiPhys: Multi-Person Physics-aware 3D Motion Estimation (CVPR 2024)

COOLFluiD is a collaborative simulation environment focused on complex multi-physics simulations

A Modelica based library for modeling thermal hydraulic energy systems and other multi-physics systems

Repository for Moltres, a code for simulating Molten Salt Reactors

Codomain attention neural operator for single to multi-physics PDE adaptation.