Ontology highlight
ABSTRACT:
SUBMITTER: Brown ML
PROVIDER: S-EPMC10653110 | biostudies-literature | 2023 Nov
REPOSITORIES: biostudies-literature
Brown Matthew L ML Skelton Jonathan M JM Popelier Paul L A PLA
Journal of chemical theory and computation 20231017 21
In this work, we present the first application of the quantum chemical topology force field FFLUX to the solid state. FFLUX utilizes Gaussian process regression machine learning models trained on data from the interacting quantum atom partitioning scheme to predict atomic energies and flexible multipole moments that change with geometry. Here, the ambient (α) and high-pressure (β) polymorphs of formamide are used as test systems and optimized using FFLUX. Optimizing the structures with increasin ...[more]