Skip to main content
King Abdullah University of Science and Technology
Statistics
STAT
Statistics
  • Study
    • Prospective Students
    • Current Students
  • Research
    • Research Areas
    • Research Groups
  • People
    • All People
    • Faculty
    • Affiliate Faculty
    • Instructional Faculty
    • Research Scientists
    • Research Staff
    • Postdoctoral Fellows
    • Administrative Staff
    • Alumni
    • Students
  • News
  • Events
  • History
  • Al-Kindi
    • Al-Kindi Distinguished Statistics Lectures
    • Al-Kindi Student Awards
  • About
  • CEMSE Division
  • Apply

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

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.

Statistics (STAT)

Footer

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

© 2024 King Abdullah University of Science and Technology. All rights reserved. Privacy Notice