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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https://figshare.com/articles/dataset/Datasets_and_model_for_Machine_Learning_for_Impurity_Charge-State_Transition_Levels_in_Semiconductors_from_Elemental_Properties_using_Multi-Fidelity_datasets_/12950288
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资源简介：
Datasets and model for paper:
Machine Learning for Impurity Charge-State Transition Levels in Semiconductors from Elemental Properties using Multi-Fidelity datasets
by Maciej P. Polak, Ryan Jacobs, Arun Mannodi-Kanakkithodi, Maria K. Y. Chan and Dane Morgan
Published in:
J. Chem. Phys. (2022)
https://doi.org/10.1063/5.0083877
本论文配套数据集与模型：
利用多保真度数据集、基于元素属性预测半导体杂质电荷态跃迁能级的机器学习方法
作者：Maciej P. Polak、Ryan Jacobs、Arun Mannodi-Kanakkithodi、Maria K. Y. Chan 及 Dane Morgan
发表于：《化学物理杂志》(J. Chem. Phys.) 2022年
https://doi.org/10.1063/5.0083877
创建时间：
2022-03-10
