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Simulating H, O and Sr transport in SrTiO with a machine-learning potential

; ;

In
Journal of materials science 1(1), Seiten/Artikel-Nr.:8

Impressum[Cham] : International Publishing

Umfang[1]-11

ISSN2948-2151

Online
DOI: 10.18154/RWTH-2026-03602
DOI: 10.1007/s44308-025-00011-0

URL: https://publications.rwth-aachen.de/record/1032552/files/1032552.pdf

Einrichtungen

  1. Lehrstuhl für Physikalische Chemie I und Institut für Physikalische Chemie (153110)
  2. Fachgruppe Chemie (150000)


OpenAccess:
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Dokumenttyp
Journal Article

Format
online

Sprache
English

Anmerkung
Peer reviewed article

Externe Identnummern
OpenAlex: W4417357507

Interne Identnummern
RWTH-2026-03602
Datensatz-ID: 1032552

Beteiligte Länder
Germany, Singapore

Lizenzstatus der Zeitschrift

 GO

Creative Commons Attribution-NonCommercial-NoDerivs CC BY-NC-ND 4.0 ; OpenAccess
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Faculty of Mathematics and Natural Sciences (Fac.1) > Department of Chemistry
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153110
150000
 Record created 2026-03-26, last modified 2026-10-29
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