Literature DB >> 22401094

New perspective on formation energies and energy levels of point defects in nonmetals.

R Ramprasad1, H Zhu, Patrick Rinke, Matthias Scheffler.   

Abstract

We propose a powerful scheme to accurately determine the formation energy and thermodynamic charge transition levels of point defects in nonmetals. Previously unknown correlations between defect properties and the valence-band width of the defect-free host material are identified allowing for a determination of the former via an accurate knowledge of the latter. These correlations are identified through a series of hybrid density-functional theory computations and an unbiased exploration of the parameter space that defines the Hyde-Scuseria-Ernzerhof family of hybrid functionals. The applicability of this paradigm is demonstrated for point defects in Si, Ge, ZnO, and ZrO2.

Entities:  

Year:  2012        PMID: 22401094     DOI: 10.1103/PhysRevLett.108.066404

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


  5 in total

1.  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

2.  Evaluation of thermodynamics, formation energetics and electronic properties of vacancy defects in CaZrO3.

Authors:  Syed Muhammad Alay-E-Abbas; Safdar Nazir; Stefaan Cottenier; Ali Shaukat
Journal:  Sci Rep       Date:  2017-08-16       Impact factor: 4.379

3.  Prediction of Site Preference of Implanted Transition Metal Dopants in Rock-salt Oxides.

Authors:  Debolina Misra; Satyesh K Yadav
Journal:  Sci Rep       Date:  2019-08-29       Impact factor: 4.379

4.  Computing with DFT Band Offsets at Semiconductor Interfaces: A Comparison of Two Methods.

Authors:  José C Conesa
Journal:  Nanomaterials (Basel)       Date:  2021-06-16       Impact factor: 5.076

5.  A Theoretical Simulation of the Radiation Responses of Si, Ge, and Si/Ge Superlattice to Low-Energy Irradiation.

Authors:  Ming Jiang; Haiyan Xiao; Shuming Peng; Guixia Yang; Zijiang Liu; Liang Qiao; Xiaotao Zu
Journal:  Nanoscale Res Lett       Date:  2018-05-02       Impact factor: 4.703

  5 in total

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