NVIDIA-Omniverse/PhysX
PhysX
PhysX is a physics engine SDK designed for calculating real-time rigid body dynamics, fluid simulations, and environmental interactions in virtual applications. It includes a GPU-accelerated physics solver for computing complex particle fluids and combustion models, a voxel fluid simulator for real-time gas, fire, and smoke, and a destruction simulation framework for modeling the fracture of meshes.
The SDK features a specialized machine learning physics tensor interface that enables the exchange of simulation data with machine learning frameworks using a common tensor format. It also implements a destruction system that models the fragmentation of objects into hierarchical pieces based on physical impact and structural stress.
The project covers a broad range of simulation capabilities, including fluid dynamics computation, rigid body fracture simulation, and real-time physics calculation. It provides supporting tooling for destruction asset authoring, structural stress calculation, and platform-independent binary serialization for simulation assets.
The system manages hardware resources through asynchronous execution tracking and utilizes a reflection-based parameter mapping system to update simulation variables.
Features
- Real-Time Physics Engines - Calculates real-time rigid body dynamics and physical interactions for environments in virtual applications.
- Game Physics Integration - Implements complex physical behaviors and resource management within larger virtual worlds and gaming environments.
- Hierarchical Mesh Fragmentation - Splits complex geometries into a parent-child tree of pieces to simulate structural collapse and breakage.
- Fracture and Destruction Simulations - Simulates how objects fracture, shatter, and break into smaller pieces based on physical impact and structural stress.
- Rigid Body Fragmentation - Calculates the breaking and shattering of rigid bodies into smaller fragments based on physical impact.
- GPU-Accelerated Physics Simulations - Uses graphics hardware to compute complex particle fluids and combustion models via a GPU-accelerated solver.
- Fluid Dynamics Simulation - Computes the movement and behavior of liquids, gases, fire, and smoke using GPU accelerated solvers.
- Combustible Fluid and Fire Simulators - Models the behavior of gases and liquids using specialized particle or grid-based solvers for fire and smoke.
- Voxel-Based Simulations - Implements a real-time sparse voxel fluid simulator for generating gas, fire, and smoke effects.
- Voxel Fluid Solvers - Computes fluid dynamics and combustion models using sparse voxel grids processed on parallel graphics hardware.
- Physics-ML Interoperability - Exchanges simulation data with machine learning frameworks using tensor formats for seamless data interoperability.
- Physics Engine Interoperabilities - Provides a specialized tensor interface for seamless simulation data exchange with machine learning frameworks.
- Physics-ML Data Exchange - Synchronizes simulation states with machine learning frameworks using a standardized tensor format.
- Physics Data Synchronization - Provides a specialized tensor interface for exchanging simulation data with machine learning frameworks.
- Destruction Asset Authoring - Provides tools for splitting meshes into hierarchical pieces to generate destructible assets with collision geometry.
- GPU Resource Management - Tracks asynchronous execution and latency across graphics interfaces to optimize GPU memory and compute usage.
- Structural Stress Analysis - Determines physical failure points by assigning masses and applying forces to perform stress calculations.
- Fracture Event Tracking - Notifies external systems of object splitting and chunking to synchronize physics joints with visual meshes.
- Physics Simulation - NVIDIA physics engine for real-time rigid body simulation.
Star history
How this analysis was created: This summary and feature list were written by an AI model that read the project's README and public documentation pages. Each feature links to the documentation it came from; stars, license and language come straight from the GitHub API. The model does not read the source code, and the analysis is refreshed when the project is re-analysed. Learn more on our About page.
