activity
20232026
most citedA foundation model for atomistic materials chemistry

249 citations · 260 across the 9 of their papers we have counts for

collaborators
Showing physics.chem-phShow all

7 papers · 1 filter

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

From Accurate Quantum Chemistry to Converged Thermodynamics for Ion Pairing in Solution

Niamh O'Neill, Benjamin X. Shi, William C. Witt +6

Quantitative prediction of thermodynamic properties in solution is essential for translating atomistic simulations into reliable chemical insight. As an exemplar system, the behavi…

physics.chem-ph2026★ 1 cited

False Metallization in Short-Ranged Machine Learned Interatomic Potentials

Isaac J. Parker, Mandy J. Hoffmann, William J. Baldwin +7

Machine learned interatomic potentials (MLIPs) have enabled atomistic simulations with ab initio accuracy for a fraction of the computational cost. However, many widely used MLIPs…

physics.chem-ph2026

Design Space of Self--Consistent Electrostatic Machine Learning Interatomic Potentials

William J. Baldwin, Ilyes Batatia, Martin Vondrák +2

Machine learning interatomic potentials (MLIPs) have become widely used tools in atomistic simulations. For much of the history of this field, the most commonly employed architectu…

physics.chem-ph2026★ 6 cited

MACE-POLAR-1: A Polarisable Electrostatic Foundation Model for Molecular Chemistry

Ilyes Batatia, William J. Baldwin, Domantas Kuryla +10

Accurate modelling of electrostatic interactions and charge transfer is fundamental to computational chemistry, yet most machine learning interatomic potentials (MLIPs) rely on loc…

physics.chem-ph2025

Towards Routine Condensed Phase Simulations with Delta-Learned Coupled Cluster Accuracy: Application to Liquid Water

Niamh O'Neill, Benjamin X. Shi, William Baldwin +5

Simulating liquid water to an accuracy that matches its wealth of available experimental data requires both precise electronic structure methods and reliable sampling of nuclear (q…

physics.chem-ph2024★ 249 cited

A foundation model for atomistic materials chemistry

Ilyes Batatia, Philipp Benner, Yuan Chiang +85

Atomistic simulations of matter, especially those that leverage first-principles (ab initio) electronic structure theory, provide a microscopic view of the world, underpinning much…