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Cited by 349

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Resolution of the Band Gap Prediction Problem for Materials Design

Open access
Crowley, Jason M., Tahir-Kheli, Jamil, Goddard, William A.·2016·The Journal of Physical Chemistry Letters

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, 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.

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Metadata

Authors
Crowley, J. M., Tahir-Kheli, J., & Goddard, W. A.
Venue
The Journal of Physical Chemistry Letters
Published
2016-03-16
Volume
7
Issue
7
Pages
1198-1203
ISSN
1948-7185 (ISSN-L)
OpenAlex
W2308963249
Cited by
349
References
6
FWCI
11.59
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Resolution of the Band Gap Prediction Problem for Materials Design. https://app.cochat.ai/papers/10.1021/acs.jpclett.5b02870
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Crowley, J. M., Tahir-Kheli, J., & Goddard, W. A. (2016). Resolution of the Band Gap Prediction Problem for Materials Design. The Journal of Physical Chemistry Letters. https://doi.org/10.1021/acs.jpclett.5b02870

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