Datasets and model for "Machine Learning for Impurity Charge-State Transition Levels in Semiconductors from Elemental Properties using Multi-Fidelity datasets"
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Datasets and model for paper:<br>Machine Learning for Impurity Charge-State Transition Levels in Semiconductors from Elemental Properties using Multi-Fidelity datasets<br><br>by Maciej P. Polak, Ryan Jacobs, Arun Mannodi-Kanakkithodi, Maria K. Y. Chan and Dane Morgan<br>Published in: <br>J. Chem. Phys. (2022)<br>https://doi.org/10.1063/5.0083877<br>
数据集与模型对应以下论文：<br>利用多保真数据集与元素属性开展半导体杂质电荷态跃迁能级预测的机器学习研究<br><br>作者：Maciej P. Polak、Ryan Jacobs、Arun Mannodi-Kanakkithodi、Maria K. Y. Chan 与 Dane Morgan<br><br>发表于：<br>J. Chem. Phys. (2022)<br>https://doi.org/10.1063/5.0083877
创建时间：
2022-03-10
