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

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国立国会図書館デジタルコレクション

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DOI[10.14989/doctor.k23899]to the data of the same series

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

Persistent ID (NDL): info:ndljp/pid/12313815

Material type: 博士論文

Author: Nishiyama, Takayuki

Publisher: -

Publication date: 2022-03-23

Material Format: Digital

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Name of awarding university/degree: 京都大学,博士(工学),Doctor of Philosophy (Engineering)

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Material Type: 博士論文
Title: Application of machine learning potential to predict grain boundary properties and development of its performant implementation
Author/Editor: Nishiyama, Takayuki
Author Heading: Nishiyama, Takayuki
Publication Date: 2022-03-23
Publication Date (W3CDTF): 2022-03-23
Alternative Title: 機械学習原子間ポテンシャルの結晶粒界構造探索への応用と高速化手法開発
Contributor: 田中, 功
中村, 裕之
奥田, 浩司
Degree grantor/type: 京都大学
Date Granted: 2022-03-23
Date Granted (W3CDTF): 2022-03-23
Dissertation Number: 甲第23899号
Degree Type: 博士(工学)
Doctor of Philosophy (Engineering)
Conferring No. (Dissertation): 甲第23899号
Text Language Code: eng
Alias of Author: 西山, 隆之
ニシヤマ, タカユキ
Subject Heading: machine learning
interatomic potential
grain boundary
GPU
NDC: 500
Target Audience: 一般
DOI: 10.14989/doctor.k23899
https://doi.org/10.14989/doctor.k23899
Persistent ID (NDL): info:ndljp/pid/12313815
https://dl.ndl.go.jp/pid/12313815
Collection: 障害者向け資料
Collection (Materials For Handicapped People:1): テキストデータ
Collection (particular): 国立国会図書館デジタルコレクション > デジタル化資料 > 博士論文
https://dl.ndl.go.jp/collections/A00014
Acquisition Basis: 博士論文（自動収集）
Date Accepted (W3CDTF): 2022-08-08T06:02:54+09:00
Format (IMT): application/pdf
Access Restrictions: 国立国会図書館内限定公開
Service for the Digitized Contents Transmission Service: 図書館・個人送信対象外
Availability of remote photoduplication service: 可
Periodical Title (URI): http://dx.doi.org/10.14989/doctor.k23899
http://hdl.handle.net/2433/275221
Data Provider (Database): 国立国会図書館 : 国立国会図書館デジタルコレクション
https://dl.ndl.go.jp