Massively parallel fragment-based quantum chemistry for large molecular systems: the serestipy software

Eschenbach P.; Niemeyer N.; Neugebauer J.

Research article (journal) | Peer reviewed

Abstract

We present the Serestipy software as an add-on to the quantum-chemistry program Serenity. Serestipy is a representational-state transfer-oriented application programming interface written in the Python programming language enabling parallel subsystem density-functional theory calculations. We introduce approximate strategies in the context of frozen- density embedding time-dependent density-functional theory to make parallel large-scale excited-state calculations feasible. Their accuracy is carefully benchmarked with calculations for a model system consisting of porphine rings. We apply this framework to a nanotube made up of those porphine rings consisting of 12 160 atoms (or 264 960 basis functions) and obtain its electronic structure and absorption spectrum in less than a day of computational time.

Details about the publication

JournalCanadian Journal of Chemistry
Volume101
Issue9
Page range641-655
StatusPublished
Release year2023
Language in which the publication is writtenEnglish
DOI10.1139/cjc-2022-0243
Link to the full texthttps://api.elsevier.com/content/abstract/scopus_id/85167803776
Keywordsexciton couplings; frozen-density embedding; massively parallel quantum chemistry; subsystem TDDFT

Authors from the University of Münster

Neugebauer, Johannes
Professur für Theoretische Organische Chemie (Prof. Neugebauer)
Center for Multiscale Theory and Computation