Expt Gap Data

Experimental band gap of 6354 inorganic semiconductors.

Data is available as Monty Encoder encoded JSON and as the source CSV file. Recommended access method is with the matminer Python package using the datasets module.

Note on citations: If you found this dataset useful and would like to cite it in your work, please be sure to cite its original sources below rather than or in addition to this page.

Dataset discussed in and sourced from the supplementary information of:
Predicting the Band Gaps of Inorganic Solids by Machine Learning
Department of Chemistry, University of Houston, Houston, Texas 77204, United States
J. Phys. Chem. Lett., 2018, 9 (7), pp 1668–1673
DOI: 10.1021/acs.jpclett.8b00124
Publication Date (Web): March 13, 2018
Copyright © 2018 American Chemical Society