9 citations · 24 across the 11 of their papers we have counts for
4 papers · 2 filters
Modeling partially-ionized dense plasma using wavepacket molecular dynamics
Daniel Plummer, Pontus Svensson, Wiktor Jasniak +3
We develop a wave packet molecular dynamics framework for modeling the structural properties of partially-ionized dense plasmas, based on a chemical model that explicitly includes…
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…
Roadmap for warm dense matter physics
Jan Vorberger, Frank Graziani, David Riley +71
This roadmap presents the state-of-the-art, current challenges and near future developments anticipated in the thriving field of warm dense matter physics. Originating from strongl…