combustion

Computers excel in chemistry class

1 min read · Mon, Aug 24 2020

Computer science combustion machine learning

Machine learning models can rapidly and accurately estimate key chemical parameters related to molecular reactivity.

Omar Knio

Professor, Applied Mathematics and Computational Sciences

uncertainty quantification bayesian inference computational fluids mechanics combustion High Performance Computing

Professor Knio focuses on developing state-of-the-art methods and algorithms for simulating complex multiscale systems, and their implementation to the analysis and optimization of renewable energy systems.

Hong G. Im

Professor, Mechanical Engineering

combustion High Fidelity Simulations Spray Modeling

Professor Im’s research interests are primarily fundamental and practical aspects of combustion and power generation devices using high-fidelity computational modeling. Recent research topics combustion characteristics of high hydrogen content fuels, advanced modeling of sooting flames, modeling of mixed-mode combustion in modern engines, dynamics of turbulent premixed flame propagation, turbulent flame stabilization, spray- and particle-laden flows and combustion, plasma and electric field effects on flames and combustion of low-grade fuels.