Resolution of the Band Gap Prediction Problem for Materials Design
Abstract
An important property with any new material is the band gap. Standard density functional theory methods grossly underestimate band gaps. This is known as the band gap problem. Here in this paper, we show that the hybrid B3PW91 density functional returns band gaps with a mean absolute deviation (MAD) from experiment of 0.22 eV over 64 insulators with gaps spanning a factor of 500 from 0.014 to 7 eV. The MAD is 0.28 eV over 70 compounds with gaps up to 14.2 eV, with a mean error of -0.03 eV. To benchmark the quality of the hybrid method, we compared the hybrid method to the rigorous GW many-body perturbation theory method. Surprisingly, the MAD for B3PW91 is about 1.5 times smaller than the MAD for GW. Furthermore, B3PW91 is 3-4 orders of magnitude faster computationally. Hence, B3PW91 is a practical tool for predicting band gaps of materials before they are synthesized and represents a solution to the band gap prediction problem.
- Authors:
-
- Materials and Process Simulation Center, MC139-74, California Institute of Technology, Pasadena, California 91125, United States
- Publication Date:
- Research Org.:
- California Institute of Technology (CalTech), Pasadena, CA (United States)
- Sponsoring Org.:
- USDOE; National Science Foundation (NSF)
- OSTI Identifier:
- 1328820
- Alternate Identifier(s):
- OSTI ID: 1436091
- Grant/Contract Number:
- SC0004993
- Resource Type:
- Published Article
- Journal Name:
- Journal of Physical Chemistry Letters
- Additional Journal Information:
- Journal Name: Journal of Physical Chemistry Letters Journal Volume: 7 Journal Issue: 7; Journal ID: ISSN 1948-7185
- Publisher:
- American Chemical Society
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 36 MATERIALS SCIENCE
Citation Formats
Crowley, Jason M., Tahir-Kheli, Jamil, and Goddard, III, William A. Resolution of the Band Gap Prediction Problem for Materials Design. United States: N. p., 2016.
Web. doi:10.1021/acs.jpclett.5b02870.
Crowley, Jason M., Tahir-Kheli, Jamil, & Goddard, III, William A. Resolution of the Band Gap Prediction Problem for Materials Design. United States. https://doi.org/10.1021/acs.jpclett.5b02870
Crowley, Jason M., Tahir-Kheli, Jamil, and Goddard, III, William A. Wed .
"Resolution of the Band Gap Prediction Problem for Materials Design". United States. https://doi.org/10.1021/acs.jpclett.5b02870.
@article{osti_1328820,
title = {Resolution of the Band Gap Prediction Problem for Materials Design},
author = {Crowley, Jason M. and Tahir-Kheli, Jamil and Goddard, III, William A.},
abstractNote = {An important property with any new material is the band gap. Standard density functional theory methods grossly underestimate band gaps. This is known as the band gap problem. Here in this paper, we show that the hybrid B3PW91 density functional returns band gaps with a mean absolute deviation (MAD) from experiment of 0.22 eV over 64 insulators with gaps spanning a factor of 500 from 0.014 to 7 eV. The MAD is 0.28 eV over 70 compounds with gaps up to 14.2 eV, with a mean error of -0.03 eV. To benchmark the quality of the hybrid method, we compared the hybrid method to the rigorous GW many-body perturbation theory method. Surprisingly, the MAD for B3PW91 is about 1.5 times smaller than the MAD for GW. Furthermore, B3PW91 is 3-4 orders of magnitude faster computationally. Hence, B3PW91 is a practical tool for predicting band gaps of materials before they are synthesized and represents a solution to the band gap prediction problem.},
doi = {10.1021/acs.jpclett.5b02870},
journal = {Journal of Physical Chemistry Letters},
number = 7,
volume = 7,
place = {United States},
year = {Wed Mar 16 00:00:00 EDT 2016},
month = {Wed Mar 16 00:00:00 EDT 2016}
}
https://doi.org/10.1021/acs.jpclett.5b02870
Web of Science
Figures / Tables:
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