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cs.AI2026
An Ontology for Machine Learning Interatomic Potentials
Daniel Hernández, Jong Hyun Jung, Yuji Ikeda +11
Machine learning interatomic potentials (MLIPs) approximate quantum-mechanical energies and forces---conventionally computed by density functional theory (DFT) or wave-function met…
cs.AI2024
F -- A Model of Events based on the Foundational Ontology DOLCE+DnS Ultralite
Ansgar Scherp, Thomas Franz, Carsten Saathoff +1
The lack of a formal model of events hinders interoperability in distributed event-based systems. In this paper, we present a formal model of events, called Event-Model-F. The mode…