Nick Deak

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Nicholas Deak’s LinkedIn profile

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Nick Deak joined the High-Performance Algorithms and Complex Fluids group within the Computational Science Center at NREL after completing his doctoral studies at The University of Texas at Austin in 2022, where he gained a strong background in high-performance computing, numerical combustion, chemical kinetics mechanism reduction, and plasma physics. Since joining NREL, he has expanded his expertise to include particle methods for simulating solids and granular flows. Broadly, his interests lie in developing high-fidelity software for simulating a wide range of fluid dynamics problems on next-generation computing systems. 

Research Interests

Development of high-performance software for computational fluid dynamics

Fluid models for low-temperature plasma simulations

Chemical kinetics mechanism reduction techniques

Particle methods for simulating granular flow

Education/Academic Qualification

Bachelor, Economics and Applied Mathematics, Brown University

PhD, Aerospace Engineering, The University of Texas at Austin

Master, Aerospace Engineering, The University of Texas at Austin


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