Code Availability for "Enhancing Solid Oxide Fuel Cells Development through Bayesian Active Learning"

Name: Code Availability for "Enhancing Solid Oxide Fuel Cells Development through Bayesian Active Learning"
Creator: Zenodo
Published: 2025-02-28T14:48:10+08:00

Zenodo2025-02-28 更新2026-05-26 收录

固体氧化物燃料电池

贝叶斯方法

数据链接：

https://zenodo.org/doi/10.5281/zenodo.14945900 数据链接链接失效反馈

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资源简介：

Code related to the paper "Enhancing Solid Oxide Fuel Cells Development through Bayesian Active Learning", R.K. Jeelaa, G. Tosato, et al., 7-dim parameter study of Ni/GDC anode in Solid Oxide Fuel Cells. Files: conda environment: environment.yml KadiStudio workflow: study_workflow_bayesian_oracle.flow Extra python scripts: processing_scripts.zip

提供机构：

Zenodo

创建时间：

2025-02-28

Code Availability for "Enhancing Solid Oxide Fuel Cells Development through Bayesian Active Learning"

资源简介：

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