Minglei Yang

Computational Plasma Physicist

Contact

yangm@ornl.gov

Bio

Dr. Minglei Yang did his Ph.D. in applied mathematics at Auburn University in 2019. He joined ORNL in 2020 as a Postdoctoral Research Associate in the Fusion Energy Division. The research interests of Dr. Yang include plasma transport, runaway electron in tokamak disruptions, and machine learning.

Publications

Diffusion-Model-Assisted Supervised Learning of Generative Models for Density Estimation

Journal: Journal of Machine Learning for Modeling and Computing

January, 2024

A Probabilistic Scheme for Semilinear Nonlocal Diffusion Equations with Volume Constraints

Journal: SIAM Journal on Numerical Analysis

December, 2023

A divergence-free constrained magnetic field interpolation method for scattered data...

Journal: Physics of Plasmas

March, 2023

A Feynman-Kac based numerical method for the exit time probability of a class of transport problems...

Journal: Journal of Computational Physics

November, 2021

A Sparse-Grid Probabilistic Scheme for Approximation of the Runaway Probability of Electrons in Fusion Tokamak Simulation

October, 2021

View All