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Title: 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:
 [1];  [1];  [1]
  1. 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}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record
https://doi.org/10.1021/acs.jpclett.5b02870

Citation Metrics:
Cited by: 182 works
Citation information provided by
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Figures / Tables:

Figure 1 Figure 1: Calculated B3PW (hybrid DFT), GW (many-body perturbation), and PBE (standard DFT) band gaps versus lowtemperature experiment. A list of the compounds studied may be found in Figures 2 and 3 and Tables S1−S3. (a) B3PW, (b) PBE, (c) GW results (G0W0 and post-G0W0) versus experiment for compounds withmore » experimental band gaps from 0 to 7 eV. (d) B3PW, PBE, and GW data for 6 compounds with experimental band gaps larger than 7 eV. For the full band gap range, the MADs are 1.28, 0.41, 0.39, and 0.28 eV for PBE, G0W0, post-G0W0, and B3PW, respectively. Overall, the error for B3PW is 1.4 times smaller than that for post-G0W0. The computational cost of B3PW is 3.2 ± 2.4 times that of PBE.« less

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Figures/Tables have been extracted from DOE-funded journal article accepted manuscripts.