High-Fidelity Physics Research
Welcome to the homepage for NVIDIA’s High-Fidelity Physics Research group lead by Ken Museth. We conduct research in the intersection of physics simulations, computer graphics, and machine learning. As the name suggests, we tend to prioritize high accuracy and fidelity over real-time performance and bridge the gap with sparse and neural representations as well as other machine learning techniques. We are researching both traditional (forward) and inverse physics problems, including solvers for fluids (gas and water), hair, cloth, muscles, soft-bodies, oceans, and granular materials like sand. Broadly speaking we are keenly interested in exploring novel ways of introducing more accurate physics in neural understandings and encodings of the world surrounding us. Our group consists of both researchers and engineers located across Asia, Europe and North America. If you are interested in joining our team feel free to reach out to any of us.
