At NREL, Bruce Perry has expanded his work on turbulence and combustion model development to include the use of machine learning to augment or replace physics-based models in regimes where the established models do not perform well. The overarching goal of his research is to enable high-fidelity simulation of emerging combustion-based clean energy technologies for both transportation and electricity-generation. Bruce’s work spans the range from fundamental to applied, including conceptual development and proof-of-concept studies for novel modeling approaches, implementation of the models in advanced computational fluid dynamics solvers, and application in simulations of real-world combustion systems to aid in their development.

Machine learning models for turbulence and combustion  
 
Development of computational fluid dynamics codes for next-generation high-performance computing systems 
 
Simulations of supercritical carbon dioxide power systems