collaborators

6 papers

physics.flu-dyn2026

Multilevel radial basis function surrogates for noise-robust DSMC-CFD coupling

Arshad Kamal, Arun K. Chinnappan, James R. Kermode +1

Hybrid methods for simulating rarefied gas flows reduce computational cost by coupling a particle-based model, typically the direct simulation Monte Carlo (DSMC) method, to a conti…

cond-mat.mtrl-sci2026

Kink-Helium Interactions in Tungsten: Increased Dislocation Mobility in the Infinitely Dilute Regime

Matthew Nutter, James R. Kermode, Albert P. Bartók

Point defects such as interstitial atoms are known to be attracted to screw dislocations. Understanding these interaction mechanisms is key to predicting the plasticity of real mat…

cond-mat.mtrl-sci2026

Accurate and Efficient Interatomic Potentials for Dislocations in InP

Thomas Rocke, Thomas Hudson, Richard Beanland +1

We present Atomic Cluster Expansion (ACE) and MACE models trained on a new dataset of Density Functional Theory (DFT) calculations, constructed for the task of studying the mobilit…

cond-mat.mtrl-sci2026

Bridging Atomistic and Continuum Descriptions of Nanoscale Dislocation Loops in Tungsten

Joseph Duque Lopez, Sergei Dudarev, James Kermode +1

In order to predict the long-term effects of irradiation on the material properties of tungsten, a continuum approach to simulating the interactions of dislocation loops, which ari…

cond-mat.mtrl-sci2025

Efficient and Accurate Spatial Mixing of Machine Learned Interatomic Potentials for Materials Science

Fraser Birks, Matthew Nutter, Thomas D Swinburne +1

Machine-learned interatomic potentials can offer near first-principles accuracy but are computationally expensive, limiting their application to large-scale molecular dynamics simu…

cond-mat.mtrl-sci2025

Bayesian Selection for Efficient MLIP Dataset Selection

Thomas Rocke, James Kermode

The problem of constructing a dataset for MLIP development which gives the maximum quality in the minimum amount of compute time is complex, and can be approached in a number of wa…