activity
20232026
most citedA foundation model for atomistic materials chemistry

249 citations · 250 across the 4 of their papers we have counts for

collaborators

5 papers

cond-mat.mtrl-sci2026★ 1 cited

Equivariant Many-body Message Passing Interatomic Potentials for Magnetic Materials

Cheuk Hin Ho, Cas van der Oord, James P. Darby +11

Magnetism governs key properties of materials used in energy, data storage, and spintronic technologies, yet its complex coupling to lattice and electronic degrees of freedom chall…

physics.chem-ph2026

Regularity Priors for the Linear Atomic Cluster Expansion

James P. Darby, Joe D. Morrow, Albert P. Bartók +3

Machine-learned interatomic potentials enable large systems to be simulated for long time scales at near ab-initio accuracy. This accuracy is achieved by fitting extremely flexible…

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…

cond-mat.mtrl-sci2023

Gaussian Approximation Potentials: theory, software implementation and application examples

Sascha Klawohn, Gábor Csányi, James P. Darby +3

Gaussian Approximation Potentials are a class of Machine Learned Interatomic Potentials routinely used to model materials and molecular systems on the atomic scale. The software im…

physics.comp-ph2023

ACEpotentials.jl: A Julia Implementation of the Atomic Cluster Expansion

William C. Witt, Cas van der Oord, Elena Gelžinytė +10

We introduce ACEpotentials.jl, a Julia-language software package that constructs interatomic potentials from quantum mechanical reference data using the Atomic Cluster Expansion (D…