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Title: Computational Search for Strong Topological Insulators: An Exercise in Data Mining and Electronic Structure

Abstract

In this paper, we report a data-mining investigation for the search of topological insulators by examining individual electronic structures for over 60,000 materials. Using a data-mining algorithm, we survey changes in band inversion with and without spin-orbit coupling by screening the calculated electronic band structure for a small gap and a change concavity at high-symmetry points. Overall, we were able to identify a number of topological candidates with varying structures and composition. Lastly, our overall goal is expand the realm of predictive theory into the determination of new and exotic complex materials through the data mining of electronic structure.

Authors:
 [1];  [2];  [3]
  1. Uppsala Univ. (Sweden)
  2. James Madison Univ., Harrisonburg, VA (United States); Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
  3. Los Alamos National Lab. (LANL), Los Alamos, NM (United States); NORDITA, Stockholm (Sweden)
Publication Date:
Research Org.:
Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Basic Energy Sciences (BES)
OSTI Identifier:
1321732
Report Number(s):
LA-UR-13-25985
Journal ID: ISSN 1916-9639
Grant/Contract Number:  
AC52-06NA25396
Resource Type:
Accepted Manuscript
Journal Name:
Applied Physics Research
Additional Journal Information:
Journal Volume: 6; Journal Issue: 4; Journal ID: ISSN 1916-9639
Publisher:
Canadian Center of Science and Education
Country of Publication:
United States
Language:
English
Subject:
36 MATERIALS SCIENCE; 97 MATHEMATICS AND COMPUTING; electronic structure; data mining; topological insulators; predictive theory

Citation Formats

Klintenberg, M., Haraldsen, Jason T., and Balatsky, Alexander V. Computational Search for Strong Topological Insulators: An Exercise in Data Mining and Electronic Structure. United States: N. p., 2014. Web. doi:10.5539/apr.v6n4p31.
Klintenberg, M., Haraldsen, Jason T., & Balatsky, Alexander V. Computational Search for Strong Topological Insulators: An Exercise in Data Mining and Electronic Structure. United States. https://doi.org/10.5539/apr.v6n4p31
Klintenberg, M., Haraldsen, Jason T., and Balatsky, Alexander V. Thu . "Computational Search for Strong Topological Insulators: An Exercise in Data Mining and Electronic Structure". United States. https://doi.org/10.5539/apr.v6n4p31. https://www.osti.gov/servlets/purl/1321732.
@article{osti_1321732,
title = {Computational Search for Strong Topological Insulators: An Exercise in Data Mining and Electronic Structure},
author = {Klintenberg, M. and Haraldsen, Jason T. and Balatsky, Alexander V.},
abstractNote = {In this paper, we report a data-mining investigation for the search of topological insulators by examining individual electronic structures for over 60,000 materials. Using a data-mining algorithm, we survey changes in band inversion with and without spin-orbit coupling by screening the calculated electronic band structure for a small gap and a change concavity at high-symmetry points. Overall, we were able to identify a number of topological candidates with varying structures and composition. Lastly, our overall goal is expand the realm of predictive theory into the determination of new and exotic complex materials through the data mining of electronic structure.},
doi = {10.5539/apr.v6n4p31},
journal = {Applied Physics Research},
number = 4,
volume = 6,
place = {United States},
year = {Thu Jun 19 00:00:00 EDT 2014},
month = {Thu Jun 19 00:00:00 EDT 2014}
}

Works referencing / citing this record:

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Three-dimensional organic Dirac-line materials due to nonsymmorphic symmetry: A data mining approach
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Computational search for Dirac and Weyl nodes in f -electron antiperovskites
journal, May 2019


Evolution of band topology by competing band overlap and spin-orbit coupling: Twin Dirac cones in Ba 3 SnO as a prototype
journal, November 2017


Towards novel organic high- T c superconductors: Data mining using density of states similarity search
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Organic materials database: An open-access online database for data mining
journal, February 2017


Organic materials database: An open-access online database for data mining
text, January 2017


Three-dimensional organic Dirac-line materials due to nonsymmorphic symmetry: a data mining approach
text, January 2016


Computational search for Dirac and Weyl nodes in $f$-electon antiperovskites
text, January 2019


Organic materials database: An open-access online database for data mining
journal, February 2017


Materials Informatics for Dark Matter Detection
text, January 2018


Computational search for Dirac and Weyl nodes in $f$-electon antiperovskites
text, January 2019