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  1. 000 Research Domain
  2. 001 Department of Energy and Environment
  3. 00101 Research Data

SpgVolNet

https://aist.repo.nii.ac.jp/records/2003342
https://aist.repo.nii.ac.jp/records/2003342
2319cf2e-c2e3-4094-aea5-dcd5bd20492a
Name / File License Actions
spgvolnet spgvolnet.zip (4.4GB)
license.icon
Item type Research Data (v9)(1)
PubDate 2025-03-10
Data name
Title SpgVolNet
Language en
Description of data
Description Type Abstract
Description Trained models, training data, and example XRD patterns for deep learning to predict space groups and lattice volumes of crystal structures from XRD patterns.
Language en
Author (Creator) name 尾崎, 弘幸

× 尾崎, 弘幸

ja 尾崎, 弘幸
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Terms of Use
Language en
Rights Resource https://creativecommons.org/licenses/by-sa/4.0/deed.en
Rights Creative Commons Attribution-ShareAlike 4.0 International
Terms of Use
Language en
Rights When using or referencing any components of this dataset (such as the trained models, training data, or supervised data) in your research, publications, or presentations, please include a citation referencing the dataset’s DOI.
Keyword
Language ja
Subject Scheme Other
Subject 結晶構造解析
Keyword
Language ja
Subject Scheme Other
Subject 機械学習
Keyword
Language en
Subject Scheme Other
Subject Crystal structure analysis
Keyword
Language en
Subject Scheme Other
Subject Machine learning
Language
Language eng
Resource Type
Resource Type Identifier http://purl.org/coar/resource_type/c_ddb1
Resource Type dataset
Identifier
Identifier https://doi.org/10.57765/2003342
Identifier Type DOI
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Ver.1 2025-03-10 09:06:35.817940
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