50 citations · 53 across the 5 of their papers we have counts for
5 papers
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…
Suppression of pair beam instabilities in a laboratory analogue of blazar pair cascades
Charles D. Arrowsmith, Francesco Miniati, Pablo J. Bilbao +28
The generation of dense electron-positron pair beams in the laboratory can enable direct tests of theoretical models of -ray bursts and active galactic nuclei. We have successfu…
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…