flow problems

Reduced-Order High Fidelity Simulations of Reacting Flows Using Low Dimensional Manifolds and Machine Learning

Hong G. Im, Professor, Mechanical Engineering; Deputy Chair, Clean Energy Research Platform, King Abdullah University of Science and Technology (KAUST)

Apr 7, 14:30 - 15:30

B1 R3119

machine learning Applied Machine Learning principal component analysis PCA computational singular perturbation renewable energy flow problems computational simulations

This talk will provide an overview of historical developments in mathematical and computational approaches to reduced order models for accelerated high fidelity reacting flow simulations in modern computing hardware.

International Seminar on Mathematical Models and Numerical Methods for Flow and Transport in Porous Media

Speakers from KAUST, CEMSE, PSE, G-CSC, IBRAE and INM RAS

Mar 25, 10:30 - Mar 26, 17:00

KAUST

numerical methods Mathematical modeling flow problems porous media

This workshop is devoted to numerical simulation of groundwater flow and subsurface contamination transport, as well as related problems. The main topics are mathematical modeling of the processes in porous media and the numerical methods for discretization, solution of the discretized systems and numerical treatment of inverse problems. In particular, fractured porous media and partially saturated aquifers will be concerned.