Bio
Ming Fan is a research scientist in the Computational Sciences and Engineering Division at 91°µÍø (ORNL). His research focuses on the intersection of machine learning, surrogate modeling, inverse modeling, uncertainty quantification, and high-performance computing. Ming collaborates with interdisciplinary teams of Earth and computational scientists to develop novel AI/ML methodologies, advancing the field of Earth sciences.
Publications
September 2022
Journal: Physics of Fluids
August 2022
Journal: Journal of Petroleum Science and Engineering
April 2022
Conference Paper
April 2022
Conference Paper