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Accelerated Design and Discovery of Perovskites with High Conductivity for Energy applications through Machine Learning

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dataset
modified on 2021-06-07, 17:41
Predicted_Data_NPJ.xlsx: Conductivity and Charge Carrier data predicted for :
i) Type I undoped
ii) Type II undoped
iii) Type I A-site doped
iv) Type II A-site doped
v) Type I B-site doped
vi)Type II B-site doped perovskites

DataJournal_NPJ.xlsx: Conductivity and charge carrier type collected from literature for perovskite

XGB_Final.py : Script for the final Machine Learning regression and classification models.

Conductivity_TargetFeaturesSet.csv: File containing the targets and feature set used by the Machine Learning model.

Funding

National Science Foundation (USA) under grant # 1545907

National Science Foundation (awards OCI-0725070 and ACI-1238993)