most citedSelf-consistent Coulomb interactions for machine learning interatomic potentials

2 citations · 4 across the 5 of their papers we have counts for

collaborators

5 papers

physics.chem-ph2026★ 1 cited

How reproducible are first-principles simulations of liquid water?

Niamh ONeill, Benjamin X. Shi, William J. Baldwin +5

Liquid water is fundamentally important, and its accurate computer simulation has been the driving force for myriad methodological developments. Ab initio molecular dynamics with f…

physics.chem-ph2026

Systematic Fine-Tuning of MACE Interatomic Potentials for Catalysis

Nima Karimitari, Jacob Clary, Derek Vigil-Fowler +3

Once trained, machine-learned interatomic potentials (MLIPs) provide a fast and accurate way to study catalytic reaction pathways, but their performance strongly depends on the tra…

cond-mat.mtrl-sci2024

Symmetry Breaking in the Superionic Phase of Silver-Iodide

Amir Hajibabaei, William J. Baldwin, Gábor Csányi +1

In the superionic phase of silver iodide, we observe a distorted tetragonal structure characterized by symmetry breaking in the cation distribution. This phase competes with the we…

physics.comp-ph2024★ 2 cited

Self-consistent Coulomb interactions for machine learning interatomic potentials

Jack Thomas, William J. Baldwin, Gábor Csányi +1

A ubiquitous approach to obtain transferable machine learning-based models of potential energy surfaces for atomistic systems is to decompose the total energy into a sum of local a…

cond-mat.mtrl-sci2024★ 1 cited

Accurate Crystal Structure Prediction of New 2D Hybrid Organic Inorganic Perovskites

Nima Karimitari, William J. Baldwin, Evan W. Muller +4

Low dimensional hybrid organic-inorganic perovskites (HOIPs) represent a promising class of electronically active materials for both light absorption and emission. The design space…