Enhancements    

ADVANCED MULTI-PHYSICS MACHINE LEARNING FOR SUBSURFACE ENERGY SYSTEMS ACROSS SCALES

ADVANCED MULTI-PHYSICS MACHINE LEARNING FOR SUBSURFACE ENERGY SYSTEMS ACROSS SCALES
PI: Son-Young Yi
Co-PI: James Kubicki, Zhengtao Gan
Sponsor: US DEPARTMENT OF ENERGY
Mathematical Sciences
Amount awarded: $3,805,175

This project aims to build a computational model for geologic subsurface energy storage and recovery systems using innovative multi-physics machine learning techniques integrated with data assimilation and laboratory and field data.

Posting date: Thu, 11/09/2023

Award start date: Sun, 10/15/2023
Award end date: Wed, 10/14/2026