Divide-and-conquer potentials enable scalable and accurate predictions of forces and energies in atomistic systems

Claudio Zeni*, Andrea Anelli, Aldo Glielmo, Stefano de Gironcoli, K.R. Rossi*

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

35 Downloads (Pure)

Fingerprint

Dive into the research topics of 'Divide-and-conquer potentials enable scalable and accurate predictions of forces and energies in atomistic systems'. Together they form a unique fingerprint.

INIS

Keyphrases

Mathematics

Computer Science

Chemical Engineering