Extensive benchmarking of DFT + ab initio U calculations for predicting band gaps and optical properties
ORAL · Invited
Abstract
Accurate computational predictions of band gaps are of practical importance to the discovery and development of semiconductor materials for use in optoelectronic devices and pho- toelectrochemical cells. Among available electronic-structure methods, density-functional theory (DFT) with the Hubbard U correction (DFT+U) applied to band edge states is a computationally tractable approach to improve the accuracy of band gap predictions beyond that of DFT approximations. At variance with DFT calculations, which are not intended to describe optical band gaps and other excited-state properties, DFT+U can be interpreted as an approximate spectral-potential method when U is determined by imposing the piecewise linearity of the total energy with respect to electronic occupations in the Hubbard manifold (thus removing self-interaction errors in this subspace), thereby providing a justification for using DFT+U to predict band gaps. However, it is still frequent in the literature to determine the Hubbard U parameters semiempirically by tuning their values to reproduce experimental band gaps, which ultimately alters the description of other total-energy characteristics. Here, we present a critical assessment of DFT+U band gaps computed using self-consistent ab initio U parameters obtained from density-functional perturbation theory to impose the aforementioned piecewise linearity of the total energy [1]. A comparison between orbital-occupancy-dependent DFT+ ab initio U functionals and orbital-density-dependent Koopmans functionals [2] will also be presented.
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Publication: [1] Kirchner-Hall N. E., Zhao W., Xiong Y., Timrov I., Dabo I., Extensive benchmarking of DFT+ calculations for predicting band gaps, Applied Sciences 11, 2395 (2021). DOI: 10.3390/app11052395
[2] E. Linscott, N. Colonna, R. De Gennaro, N. L. Nguyen, G. Borghi, A. Ferretti, I. Dabo, N. Marzari, koopmans: An open-source package for accurately and efficiently predicting spectral properties with Koopmans functionals, Journal of Chemical Theory and Computation, in press (2023). DOI: 10.1021/acs.jctc.3c00652
Presenters
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Ismaila Dabo
Pennsylvania State University, Penn State
Authors
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Ismaila Dabo
Pennsylvania State University, Penn State