Litcius/Paper detail

Performant implementation of the atomic cluster expansion (PACE) and application to copper and silicon

Yury Lysogorskiy, Cas van der Oord, Anton Bochkarev, Sarath Menon, Matteo Rinaldi, Thomas Hammerschmidt, Matous Mrovec, Aidan P. Thompson, Gábor Cśanyi, Christoph Ortner, Ralf Drautz

2021npj Computational Materials248 citationsDOIOpen Access PDF

Abstract

Abstract The atomic cluster expansion is a general polynomial expansion of the atomic energy in multi-atom basis functions. Here we implement the atomic cluster expansion in the performant C++ code that is suitable for use in large-scale atomistic simulations. We briefly review the atomic cluster expansion and give detailed expressions for energies and forces as well as efficient algorithms for their evaluation. We demonstrate that the atomic cluster expansion as implemented in shifts a previously established Pareto front for machine learning interatomic potentials toward faster and more accurate calculations. Moreover, general purpose parameterizations are presented for copper and silicon and evaluated in detail. We show that the Cu and Si potentials significantly improve on the best available potentials for highly accurate large-scale atomistic simulations.

Topics & Concepts

Cluster expansionCluster (spacecraft)Atomic unitsSiliconCoupled clusterCopperAtom (system on chip)Computer scienceComputational scienceScale (ratio)Statistical physicsAtomic physicsMaterials sciencePhysicsParallel computingQuantum mechanicsOptoelectronicsMoleculeMetallurgyProgramming languageMachine Learning in Materials ScienceX-ray Diffraction in CrystallographyElectronic and Structural Properties of Oxides