Literature DB >> 21231189

Efficient band gap prediction for solids.

M K Y Chan1, G Ceder.   

Abstract

An efficient method for the prediction of fundamental band gaps in solids using density functional theory (DFT) is proposed. Generalizing the Delta self-consistent-field (ΔSCF) method to infinite solids, the Δ-sol method is based on total-energy differences and derived from dielectric screening properties of electrons. Using local and semilocal exchange-correlation functionals (local density and generalized gradient approximations), we demonstrate a 70% reduction of mean absolute errors compared to Kohn-Sham gaps on over 100 compounds with experimental gaps of 0.5-4 eV, at computational costs similar to typical DFT calculations.

Year:  2010        PMID: 21231189     DOI: 10.1103/PhysRevLett.105.196403

Source DB:  PubMed          Journal:  Phys Rev Lett        ISSN: 0031-9007            Impact factor:   9.161


  14 in total

1.  Empirical correction for PM7 band gaps of transition-metal oxides.

Authors:  Xiang Liu; Karl Sohlberg
Journal:  J Mol Model       Date:  2016-01-06       Impact factor: 1.810

Review 2.  Materials for solar fuels and chemicals.

Authors:  Joseph H Montoya; Linsey C Seitz; Pongkarn Chakthranont; Aleksandra Vojvodic; Thomas F Jaramillo; Jens K Nørskov
Journal:  Nat Mater       Date:  2016-12-20       Impact factor: 43.841

3.  Charge transport network dynamics in molecular aggregates.

Authors:  Nicholas E Jackson; Lin X Chen; Mark A Ratner
Journal:  Proc Natl Acad Sci U S A       Date:  2016-07-20       Impact factor: 11.205

4.  Band gaps of crystalline solids from Wannier-localization-based optimal tuning of a screened range-separated hybrid functional.

Authors:  Dahvyd Wing; Guy Ohad; Jonah B Haber; Marina R Filip; Stephen E Gant; Jeffrey B Neaton; Leeor Kronik
Journal:  Proc Natl Acad Sci U S A       Date:  2021-08-24       Impact factor: 11.205

5.  Expanding the chemistry of borates with functional [BO2]- anions.

Authors:  Chunmei Huang; Miriding Mutailipu; Fangfang Zhang; Kent J Griffith; Cong Hu; Zhihua Yang; John M Griffin; Kenneth R Poeppelmeier; Shilie Pan
Journal:  Nat Commun       Date:  2021-05-10       Impact factor: 14.919

6.  Universal machine learning framework for defect predictions in zinc blende semiconductors.

Authors:  Arun Mannodi-Kanakkithodi; Xiaofeng Xiang; Laura Jacoby; Robert Biegaj; Scott T Dunham; Daniel R Gamelin; Maria K Y Chan
Journal:  Patterns (N Y)       Date:  2022-02-14

7.  Organic materials database: An open-access online database for data mining.

Authors:  Stanislav S Borysov; R Matthias Geilhufe; Alexander V Balatsky
Journal:  PLoS One       Date:  2017-02-09       Impact factor: 3.240

8.  Computational screening of high-performance optoelectronic materials using OptB88vdW and TB-mBJ formalisms.

Authors:  Kamal Choudhary; Qin Zhang; Andrew C E Reid; Sugata Chowdhury; Nhan Van Nguyen; Zachary Trautt; Marcus W Newrock; Faical Yannick Congo; Francesca Tavazza
Journal:  Sci Data       Date:  2018-05-08       Impact factor: 6.444

9.  Using Wannier functions to improve solid band gap predictions in density functional theory.

Authors:  Jie Ma; Lin-Wang Wang
Journal:  Sci Rep       Date:  2016-04-26       Impact factor: 4.379

10.  Influence of chromium hyperdoping on the electronic structure of CH3NH3PbI3 perovskite: a first-principles insight.

Authors:  Gregorio García; Pablo Palacios; Eduardo Menéndez-Proupin; Ana L Montero-Alejo; José C Conesa; Perla Wahnón
Journal:  Sci Rep       Date:  2018-02-06       Impact factor: 4.379

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