WEKO3
Item
SpgVolNet
https://aist.repo.nii.ac.jp/records/2003342
https://aist.repo.nii.ac.jp/records/20033422319cf2e-c2e3-4094-aea5-dcd5bd20492a
| Name / File | License | Actions |
|---|---|---|
spgvolnet.zip (4.4GB)
|
.png)
|
| 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
|
|||||||
| 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 | |||||||
| 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 | |||||||
