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

Eschenbach P.; Niemeyer N.; Neugebauer J.

Forschungsartikel (Zeitschrift) | Peer reviewed

Zusammenfassung

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 zur Publikation

FachzeitschriftCanadian Journal of Chemistry
Jahrgang / Bandnr. / Volume101
Ausgabe / Heftnr. / Issue9
Seitenbereich641-655
StatusVeröffentlicht
Veröffentlichungsjahr2023
Sprache, in der die Publikation verfasst istEnglisch
DOI10.1139/cjc-2022-0243
Link zum Volltexthttps://api.elsevier.com/content/abstract/scopus_id/85167803776
Stichwörterexciton couplings; frozen-density embedding; massively parallel quantum chemistry; subsystem TDDFT

Autor*innen der Universität Münster

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