Skip to main content
U.S. Department of Energy
Office of Scientific and Technical Information

Machine Learning

Technical Report ·
DOI:https://doi.org/10.2172/1492563· OSTI ID:1492563
Presentation overview: Why Machine Learning?; Why ML-Informed Physics?; Why Physics-Informed ML?; LANL ML strategy related to National & Energy Security; ML-Informed Physics for climate modeling and induced seismicity (LDRD-DR); Physics-Informed ML for blind source separation (LDRD-DR); ML forecasting production from tight rock reservoirs (Chevron)
Research Organization:
Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
Sponsoring Organization:
USDOE Laboratory Directed Research and Development (LDRD) Program; USDOE National Nuclear Security Administration (NNSA)
DOE Contract Number:
89233218CNA000001
OSTI ID:
1492563
Report Number(s):
LA-UR--19-20140
Country of Publication:
United States
Language:
English

Similar Records

Science-informed Machine Learning to Increase Recovery Efficiency in Unconventional Reservoirs
Technical Report · Tue Apr 07 00:00:00 EDT 2020 · OSTI ID:1614818

Machine Learning in Seismology: Turning Data into Insights
Journal Article · Tue Nov 13 19:00:00 EST 2018 · Seismological Research Letters · OSTI ID:1492617