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  1. 000 Research Domain
  2. 004 Academic Paper
  3. 00401 Research Data

ML_CO2_H2_to_CH3OH_Batch

https://aist.repo.nii.ac.jp/records/2003358
https://aist.repo.nii.ac.jp/records/2003358
0483c922-62ff-49db-84da-e0c21e2e967c
Name / File License Actions
20250604_CH3OH_Batch_dataset.xlsx 20250604_CH3OH_Batch_dataset.xlsx (278 KB)
license.icon
20250604_Descriptors_alcohol.xlsx 20250604_Descriptors_alcohol.xlsx (291 KB)
license.icon
scripts.zip scripts.zip (576 KB)
license.icon
Item type Research Data v10(1)
PubDate 2025-06-06
Data name
Title ML_CO2_H2_to_CH3OH_Batch
Language en
Description of data
Description Type Abstract
Description Data repository consisting of machine learning code written in Python, experimental datasets and manual (README.md) for the design of multi-element heterogeneous catalysts for the synthesis of methanol from CO2/H2 at low temperature in batch reactors.
Language en
Author (Creator) name 峯, 真也

× 峯, 真也

ja 峯, 真也

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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 CO2還元
Keyword
Language ja
Subject Scheme Other
Subject 低温メタノール合成
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 CO2 reduction
Keyword
Language en
Subject Scheme Other
Subject Low-temperature methanol synthesis
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/10.57765/2003358
Identifier Type DOI
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Ver.1 2025-06-06 04:28:24.676865
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