WEKO3
Item
ML_RWGS_250C_catalysts
https://aist.repo.nii.ac.jp/records/2003414
https://aist.repo.nii.ac.jp/records/20034149207f457-77fe-4f31-8ed0-b62df7f62537
| Name / File | License | Actions |
|---|---|---|
20251222_rwgs_250_dataset.xlsx (168 KB)
|
.png)
|
|
|
20251222_rwgs_250_FULL_dataset.xlsx (135 KB)
|
|
|
|
Descriptors_rwgs_250.xlsx (194 KB)
|
|
|
scripts.zip (641 KB)
|
|
| Item type | Research Data v10(1) | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| PubDate | 2025-12-25 | |||||||||
| Data name | ||||||||||
| Title | ML_RWGS_250C_catalysts | |||||||||
| 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 code that proposes a multi-element heterogeneous catalyst effective for the reverse water-gas shift reaction (RWGS: CO2 + H2 → CO + H2O) at 250°C. | |||||||||
| Language | en | |||||||||
| Author (Creator) name |
Mine, Shinya
× Mine, Shinya
ORCID
0000-0002-8339-0301
|
|||||||||
| Terms of Use | ||||||||||
| Language | en | |||||||||
| Rights Resource | https://creativecommons.org/licenses/by/4.0/deed.en | |||||||||
| Rights | Creative Commons Attribution 4.0 International | |||||||||
| Terms of Use | ||||||||||
| Language | en | |||||||||
| Rights | This project is licensed under the `CC BY 4.0` license. | |||||||||
| 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 | 逆水性ガスシフト反応 | |||||||||
| 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 | reverse water-gas shift reaction | |||||||||
| 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/10.57765/2003414 | |||||||||
| Identifier Type | DOI | |||||||||
