1 citations · 1 across the 3 of their papers we have counts for
3 papers
stat.ME2023
Discovering the Unknowns: A First Step
V. Roshan Joseph, William E. Lewis, Henry S. Yuchi +1
This article aims at discovering the unknown variables in the system through data analysis. The main idea is to use the time of data collection as a surrogate variable and try to i…
physics.plasm-ph2023★ 1 cited
Mallat Scattering Transformation based surrogate for MagnetoHydroDynamics
Michael E. Glinsky, Kathryn Maupin
A Machine and Deep Learning methodology is developed and applied to give a high fidelity, fast surrogate for 2D resistive MHD simulations of MagLIF implosions. The resistive MHD co…
cs.LG2022
Monotonic Gaussian process for physics-constrained machine learning with materials science applications
Anh Tran, Kathryn Maupin, Theron Rodgers
Physics-constrained machine learning is emerging as an important topic in the field of machine learning for physics. One of the most significant advantages of incorporating physics…