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Kyoto University

Application of machine learning potential to predict grain boundary properties and development of its performant implementation

Degree

thesis:*
Grantor dc:publisher
Kyoto University
Year dc:date.issued
2022

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Nishiyama, Takayuki

Subjects

dc:subject × 4

Rights

Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/2433/275221
OAI identifier oai:identifier
oai:repository.kulib.kyoto-u.ac.jp:2433/275221

Chain of custody

source
Harvested from
Kyoto University
Base URL
repository.kulib.kyoto-u.ac.jp/server/oai/request
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Nishiyama, Takayuki. Application of machine learning potential to predict grain boundary properties and development of its performant implementation. Kyoto University, 2022. http://hdl.handle.net/2433/275221