PDML

PDML develops fluid methods (computational fluid dynamics, multi-fluid, high-order moment closure, magnetohydrodynamics, etc.), kinetic methods (particle-in-cell, Monte Carlo collisions, direct simulation Monte Carlo, direct kinetic simulation, etc.) as well as hybrid models, in which multiple different methods are used simultaneously in one single simulation. In order to model real-world systems using high-fidelity models, high performance computation (parallel computing) using supercomputers is regularly used. PDML has also been developing data-driven models (extended Kalman filter, ensemble Kalman filter, optimization algorithms, etc.) for rarefied and ionized gases. In addition to the numerical simulation techniques, we focus on developing theoretical models and framework that can help us explain the complex phenomena. Go to Research page... We are looking forward to working with students, undergraduate or graduate, and researchers (postdocs, visitors) who are excited to work on..

Also known as: Plasma Dynamics Modeling Laboratory

Primary location: Stanford United States