6 papers · 1 filter
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…
Statistical theory of electronic degrees of freedom in wave packet molecular dynamics
Daniel Plummer, Pontus Svensson, Wiktor Jasniak +3
We derive statistical distributions for the degrees of freedom in wave packet molecular dynamics models. Specifically, a theory is developed for the width distributions of Gaussian…
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…
Ionisation Calculations using Classical Molecular Dynamics
Daniel Plummer, Pontus Svensson, Dirk O. Gericke +3
By performing an ensemble of molecular dynamics simulations, the model-dependent ionisation state is computed for strongly interacting systems self-consistently. This is accomplish…
A molecular dynamics framework coupled with smoothed particle hydrodynamics for quantum plasma simulations
Thomas Campbell, Pontus Svensson, Brett Larder +3
We present a novel scheme for modelling quantum plasmas in the warm dense matter (WDM) regime via a hybrid smoothed particle hydrodynamic - molecular dynamic treatment, here referr…