CationPerturbationML
This work uses spinel oxide as an example to improve the explanatory power of the model.
Install / Use
/learn @ccv81121/CationPerturbationMLREADME
CationPerturbationML
This work uses spinel oxide as an example to improve the explanatory power of the model.
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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.
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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.]
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