Computational Gas Dynamics and Plasma Physics Lab
Department of Mechanical Engineering
University of North Dakota
Grand Forks, North Dakota
Kinetic theory-based computational modeling of gas, plasma, and nonequilibrium flows.
We develop predictive methods for complex gas-dynamic and plasma phenomena by combining kinetic theory-based particle simulation methods and GPU-accelerated high-performance computing. Our work connects fundamental physics with applications in aerospace, low-temperature plasma, and advanced manufacturing.
Low-Temperature Plasma
We develop kinetic models of low-temperature plasmas and plasma-surface interactions, with applications to radio-frequency discharges and plasma-enabled semiconductor manufacturing.
Hypersonic Nonequilibrium Flow
We study rarefied and nonequilibrium gas dynamics, shock layers, and hypersonic aerothermodynamics using kinetic theory-based particle simulation methods.
GPU-Accelerated High-Performance Computing
We develop scalable algorithms for large-scale scientific simulation, including GPU-accelerated particle methods, unstructured-mesh algorithms, and high-performance computing workflows.
Research
Our research combines physics-based modeling with scalable computational methods to understand complex gas-dynamic and plasma phenomena.
Low-Temperature Plasma
We study plasma transport, plasma-surface interactions, and radio-frequency discharges using kinetic modeling, with applications to plasma-enabled semiconductor manufacturing and high-aspect-ratio etching.
Hypersonic Nonequilibrium Flow
We investigate rarefied and high-temperature nonequilibrium gas dynamics, shock-layer physics, and hypersonic aerothermodynamics using particle-based and kinetic theory-based particle simulation methods.
GPU-Accelerated High-Performance Computing
We develop GPU-accelerated algorithms and scalable computational methods for large-scale scientific simulation, including particle methods, unstructured meshes, and GPU-accelerated high-performance computing.
Scientific AI
We develop AI-assisted simulation workflows and surrogate models that connect high-fidelity physics-based simulations with efficient scientific prediction, analysis, and computational discovery.
Explore our research projects →
Research Software
We build Comet, a GPU-accelerated kinetic simulation framework, and CometAI, an AI-assisted layer for scientific simulation workflows.
Join the Lab
Funded Ph.D. Positions — Spring 2027 and Fall 2027
I am looking for highly motivated Ph.D. students interested in low-temperature plasma, hypersonic nonequilibrium flow, kinetic theory, numerical methods, and GPU-accelerated high-performance computing.
Students will work on funded research projects while developing advanced computational methods for complex gas-dynamic and plasma-physics problems.
Latest News
See the latest research, awards, publications, and opportunities from the lab.
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