Skip to main content
King Abdullah University of Science and Technology
KAUST Research Conference on Robotics and Autonomy
RobotoKAUST
KAUST Research Conference on Robotics and Autonomy

Main navigation

  • Home
  • People
    • All Profiles
    • Leadership Team
    • Faculty
    • Visiting Scholars
  • Events
    • All Events
    • Events Calendar
  • News

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.

KAUST Research Conference on Robotics and Autonomy (RobotoKAUST)

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