Research
Research in kinetic theory, particle simulation, plasma physics, hypersonic nonequilibrium flow, and GPU-accelerated high-performance computing.
Our research develops physics-based computational methods for complex gas-dynamic and plasma phenomena, with an emphasis on kinetic theory, particle simulation, and GPU-accelerated high-performance computing.
Physics-Based Computational Science
We develop scalable simulation methods that connect fundamental nonequilibrium physics with challenging problems in plasma processing, semiconductor manufacturing, hypersonic aerothermodynamics, and scientific computing.
Comet
GPU-Accelerated Kinetic Simulation Framework
A GPU-accelerated kinetic simulation framework for particle-based modeling of plasma and gas-dynamic systems.
Comet focuses on scalable particle simulation methods for predictive modeling of complex nonequilibrium phenomena on modern high-performance computing systems.
CometAI
AI-Assisted Scientific Computing
An AI-enabled workflow for assisting the development, configuration, execution, and analysis of complex kinetic simulations.
CometAI combines scientific simulation with artificial intelligence to automate computational workflows while maintaining physics-based modeling and high-fidelity simulation capabilities.
Hypersonic Nonequilibrium Flow
Kinetic Modeling of Hypersonic Aerothermodynamics
Particle-based modeling of rarefied and nonequilibrium flows encountered in high-speed atmospheric entry and other extreme aerodynamic environments.
The research focuses on shock-layer physics, high-temperature nonequilibrium, and predictive modeling of complex hypersonic aerothermodynamic phenomena.
2D hypersonic flow over a double-wedge geometry, visualized using density schlieren.
Plasma-Enabled Manufacturing
Kinetic Modeling for Semiconductor Processing
Kinetic simulation of low-temperature plasmas used in advanced semiconductor manufacturing, with emphasis on plasma transport and plasma-surface interactions.
The research examines the ion and electron distributions that control plasma processing, including high-aspect-ratio etching and ion energy and angular distributions.
GPU-Accelerated Computing
Scalable Algorithms and Numerical Methods
Development of computational algorithms that enable large-scale particle simulations on modern GPU-based high-performance computing systems.
Particular emphasis is placed on scalable numerical methods for unstructured meshes, particle-field coupling, and efficient solution of the field equations required by kinetic particle simulations.
Research Software
Comet
GPU-accelerated Particle-in-Cell and Direct Simulation Monte Carlo methods for kinetic simulation on unstructured meshes.
CometAI
AI-assisted workflows for high-fidelity kinetic simulation and scientific computing.
From Kinetic Physics to Scalable Simulation
Across these projects, we develop a common computational foundation based on kinetic theory, particle simulation, and GPU-accelerated high-performance computing.
The long-term goal is to build predictive simulation capabilities that connect fundamental nonequilibrium physics with challenging problems in plasma processing, semiconductor manufacturing, hypersonic aerothermodynamics, and advanced scientific computing.