collaborators

6 papers

cond-mat.mtrl-sci2026

Nanosecond timescale plasticity in shock-compressed polycrystalline MgO: evidence for transition in mechanism above 100 GPa

A. Chakraborti, H. Ginestet, F. Bertrand +80

The mechanical properties of ceramics under extreme conditions directly impact applications ranging from shielding spacecrafts, designing plasma facing materials in nuclear fusion…

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…

hep-ph2026

Probing keV mass QCD axions with the SACLA X-ray free electron laser

Charles Heaton, Jack W. D. Halliday, Taito Osaka +12

Axions are hypothetical particles, proposed to account for the invariance of CP symmetry in quantum chromodynamics. While axions and axion-like-particles are well-motivated by stri…

cond-mat.mtrl-sci2025

Structural evolution of iron oxides melts at Earth's outer-core pressures

Céline Crépisson, Mila Fitzgerald, Domenic Peake +32

Oxygen and other light elements comprise up to 5 wt% of the Earth's outer-core, and may significantly influence its physical properties and the operation of the geodynamo. Here we…

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…