activity
20232026
most citedIonisation Calculations using Classical Molecular Dynamics

9 citations · 24 across the 11 of their papers we have counts for

collaborators

12 papers

cond-mat.mtrl-sci2026

Volume Collapse Without a Structural Transition in Shock-Compressed FeO

C. Crépisson, T. Stevens, M. Fitzgerald +121

We report x-ray diffraction and emission spectroscopy of FeO under laser-driven shock compression between 31-199 GPa. FeO retains the B1 (rocksalt) structure along the Hugoniot to…

physics.plasm-ph2026

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…

physics.plasm-ph2026

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…

physics.plasm-ph2025★ 1 cited

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…

physics.plasm-ph2025

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…

physics.plasm-ph2025

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…

physics.plasm-ph2025

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…

physics.plasm-ph2024

Modelling of warm dense hydrogen via explicit real time electron dynamics: Electron transport properties

Pontus Svensson, Patrick Hollebon, Daniel Plummer +2

We extract electron transport properties from atomistic simulations of a two-component plasma, by mapping the long-wavelength behaviour to a two-fluid model. The mapping procedure…

physics.plasm-ph2024★ 9 cited

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…

physics.plasm-ph2024

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…

physics.plasm-ph2024★ 9 cited

Modelling of warm dense hydrogen via explicit real time electron dynamics: Dynamic structure factors

Pontus Svensson, Yusuf Aziz, Tobias Dornheim +5

We present two methods for computing the dynamic structure factor for warm dense hydrogen without invoking either the Born-Oppenheimer approximation or the Chihara decomposition, b…

physics.plasm-ph2023★ 5 cited

Quantum Effects on Dynamic Structure Factors in Dense Magnetized Plasmas

Tushar Mondal, Gianluca Gregori

We extend the classical magnetohydrodynamics formalism to include nonlocal quantum behavior via the phenomenological Bohm potential. We then solve the quantum magnetohydrodynamics…