Skip to main content
King Abdullah University of Science and Technology
Computational Electromagnetics
CEM
Computational Electromagnetics

Main navigation

  • Home
  • People
    • All Profiles
    • Principal Investigators
    • Postdoctoral Fellows
    • Students
    • Alumni
    • Former Members
  • Events
    • All Events
    • Events Calendar
  • News
  • About
  • Research Projects
  • Teaching
  • Contacts

combustion

Computers excel in chemistry class

1 min read · Mon, Aug 24 2020

News

Computer science combustion machine learning

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

Omar Knio

Dean, Computer, Electrical and Mathematical Sciences and Engineering

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.

Computational Electromagnetics (CEM)

Footer

  • A-Z Directory
    • All Content
    • Browse Related Sites
  • Site Management
    • Log in

© 2025 King Abdullah University of Science and Technology. All rights reserved. Privacy Notice