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.

For additional information, see Nicholas Deak’s LinkedIn profile.

Disclaimer: Any opinions expressed on LinkedIn are the author’s own, made in the author's individual capacity, and do not necessarily reflect the views of NREL.

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

Ph.D., Aerospace Engineering, The University of Texas at Austin

M.S., Aerospace Engineering, The University of Texas at Austin

B.S., Economics and Applied Mathematics, Brown University

Featured Work

Jacobian-Free Newton–Krylov Method for the Simulation of Non-Thermal Plasma Discharges with High-Order Time Integration and Physics-Based Preconditioning, Journal of Computational Physics (2023)

High-Fidelity Simulations of Plasma-Assisted Oxidation of Hydrocarbon Fuels Using Nanosecond Pulsed Discharges, AIAA SCITECH Forum (2023)

Plasma-Assisted Ignition of Methane/Air and Ethylene/Air Mixtures: Efficiency at Low and High Pressures, Proceedings of the Combustion Institute (2020)

P-DRGEP: A Novel Methodology for the Reduction of Kinetics Mechanisms for Plasma-Assisted Combustion Applications, Proceedings of the Combustion Institute (2020)