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
|