Peer-review data and script for paper: Advancing physico-chemical pathway for understanding the effect of electrolyte composition on battery degradation 机器收录·待核验
mxdsa4yha88ahr67
This dataset contains supporting data and analysis scripts for peer review. It includes battery cycling data, processed outputs, and scripts for degradation mode quantification using Python Battery Mathematical Modelling (PyBaMM), the Advanced Electrolyte Model (AEM), and Python Processing for Battery Experiments (PyProBE).
The upload is anonymized and intended solely for the purpose of journal peer review.
本卡描述如含来自官方页的原文片段,其版权归原作者,不在本站 CC-BY 4.0 许可范围(见关于与许可)。
- 落地页
- https://zenodo.org/records/17074144
- 许可证
- CC-BY-4.0 (置信:verified_official)
- 发布年份
- 2025
- 发布方
- Zenodo
分发点
| zenodo | https://zenodo.org/records/17074144 |
溯源(6 条)
| 来源链接: https://zenodo.org/records/17074144 日期: 2026-07-21 |
| 来源链接: https://api.datacite.org/dois/10.5281/zenodo.17074144 日期: 2026-07-30 |
| 来源链接: https://api.datacite.org/dois/10.5281/zenodo.17074144 日期: 2026-07-30 |
| 日期: 2026-07-30 |
| 日期: 2026-07-31 |
| 日期: 2026-07-31 |