50 citations · 53 across the 5 of their papers we have counts for
4 papers · 1 filter
Resolution-Independent Machine Learning Heat Flux Closure for ICF Plasmas
M. Luo, A. R. Bell, F. Miniati +2
Accurate modeling of heat flux in inertial confinement fusion plasmas requires closures that remain predictive far from local equilibrium and across disparate spatial and temporal…
Time-Embedded Convolutional Neural Networks for Modeling Plasma Heat Transport
Mufei Luo, Charles Heaton, Yizhen Wang +5
We introduce a time-embedded convolutional neural network (TCNN) for modeling spatiotemporal heat transport in plasmas, particularly under strongly nonlocal conditions. In our earl…
Learning Heat Transport Kernels Using a Nonlocal Heat Transport Theory-Informed Neural Network
Mufei Luo, Charles Heaton, Yizhen Wang +5
We present a data-driven framework for the modeling of nonlocal heat transport in plasmas using a nonlocal theory informed neural network trained on kinetic Particle-in-Cell simula…
Numerical modeling of laser-driven experiments aiming to demonstrate magnetic field amplification via turbulent dynamo
P. Tzeferacos, A. Rigby, A. Bott +29
The universe is permeated by magnetic fields, with strengths ranging from a femtogauss in the voids between the filaments of galaxy clusters to several teragauss in black holes and…