Bio
Ming Fan is a research scientist in the Computational Sciences and Engineering Division at Oak Ridge National Laboratory (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