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  1. 000 Research Domain
  2. 004 Department of Materials and Chemistry
  3. 00401 Research Data

ML_direct_N2O_decomposition

https://aist.repo.nii.ac.jp/records/2003399
https://aist.repo.nii.ac.jp/records/2003399
6152c084-65de-4b61-92c8-5c3429bfa461
Name / File License Actions
20250609_N2O_dataset.xlsx 20250609_N2O_dataset.xlsx (88 KB)
license.icon
Descriptors_N2O.xlsx Descriptors_N2O.xlsx (293 KB)
license.icon
scripts.zip scripts.zip (408 KB)
license.icon
Item type Research Data v10(1)
PubDate 2025-08-27
Data name
Title ML_direct_N2O_decomposition
Language en
Description of data
Description Type Abstract
Description Data repository consisting of machine learning code written in Python (.py and .ipynb), experimental datasets (.xlsx), and a README.md file describing the code for proposing a multi-element heterogeneous catalyst effective for direct N2O decomposition.
Language en
Author (Creator) name Mine, Shinya

× Mine, Shinya

ORCID 0000-0002-8339-0301

ja 峯, 真也
産業技術総合研究所

en Mine, Shinya
National Institute of Advanced Industrial Science and Technology (AIST)

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Terms of Use
Language en
Rights Resource https://creativecommons.org/licenses/by/4.0/deed.en
Rights Creative Commons Attribution 4.0 International
Keyword
Language ja
Subject Scheme Other
Subject 機械学習
Keyword
Language ja
Subject Scheme Other
Subject 触媒開発
Keyword
Language ja
Subject Scheme Other
Subject N2O直接分解
Keyword
Language en
Subject Scheme Other
Subject Machine learning
Keyword
Language en
Subject Scheme Other
Subject Development of catalysts
Keyword
Language en
Subject Scheme Other
Subject Direct N2O decomposition
Publisher
Publisher National Institute of Advanced Industrial Science and Technology (AIST)
Language en
Date
Date 2025
Date Type Issued
Language
Language eng
Resource Type
Resource Type Identifier http://purl.org/coar/resource_type/c_ddb1
Resource Type dataset
Identifier
Identifier https://doi.org/10.57765/2003399
Identifier Type DOI
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Ver.1 2025-08-27 12:32:38.481972
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