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CationPerturbationML

This work uses spinel oxide as an example to improve the explanatory power of the model.

Install / Use

/learn @ccv81121/CationPerturbationML
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

CationPerturbationML

This work uses spinel oxide as an example to improve the explanatory power of the model.

  • Download model.rar and data.rar from 10.6084/m9.figshare.24953520(https://figshare.com/articles/dataset/b_CationPerturbationML_b/24953520) and extract them to the current directory.

  • The train data and test data for XML are in XML_data.

Citation

  • For more details, please see our paper: 10.1103/physrevb.109.085306.
  • [Chen Z, Wang H, Liu B, et al. Cationic perturbation strategy to solve the information drought in material explainable machine learning[J]. Physical Review B, 2024, 109(8): 085306.]

Related Skills

View on GitHub
GitHub Stars6
CategoryDevelopment
Updated1y ago
Forks1

Languages

Jupyter Notebook

Security Score

55/100

Audited on Jul 28, 2024

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