3 papers
physics.plasm-ph2026
Physics-Informed Latent Space Dynamics Identification for Time-Dependent NLTE Atomic Kinetics
Jeongwoo Nam, William Anderson, Youngsoo Choi +5
Non-local thermodynamic equilibrium (NLTE) calculations remain a major computational bottleneck in radiation--hydrodynamics, while most existing machine-learning surrogates treat N…
physics.plasm-ph2026
Ionization Dynamics in Intense Laser-Produced Plasmas
M. S. Cho, A. L. Milder, W. Rozmus +6
The ionization dynamic of argon plasma irradiated by an intense laser is investigated to understand transient physics in dynamic systems. This study demonstrates that significant d…
physics.plasm-ph2024
Physics-Informed Transformation Toward Improving the Machine-Learned NLTE Models of ICF Simulations
Min Sang Cho, Paul E. Grabowski, Kowshik Thopalli +11
The integration of machine learning techniques into Inertial Confinement Fusion (ICF) simulations has emerged as a powerful approach for enhancing computational efficiency. By repl…