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Interface structure prediction via CALYPSO method.

Bo Gao1, Pengyue Gao1, Shaohua Lu1

  • 1State Key Laboratory of Superhard Materials & Innovation Center for Computational Physics Methods and Softwares, College of Physics, Jilin University, Changchun 130012, China.

Science Bulletin
|January 20, 2023
PubMed
Summary
This summary is machine-generated.

Predicting solid-solid interface structures is challenging. This study introduces an efficient computational method, validated by predicting known structures and discovering new titanium dioxide grain boundaries, enhancing visible-light photoactivity.

Keywords:
Lattice mismatchSolid–solid interfaceStructure prediction methodTiO(2) grain boundary

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Area of Science:

  • Materials Science
  • Computational Materials Science
  • Solid-State Physics

Background:

  • Understanding solid-solid interface atomistic structures is crucial for interfacial material properties.
  • Experimental and theoretical determination of interface structures presents significant challenges.

Purpose of the Study:

  • To develop an efficient computational method for predicting solid-solid interface structures.
  • To explore the impact of grain boundaries on the electronic and photoactivity properties of titanium dioxide (TiO2).

Main Methods:

  • Generalization of the CALYPSO method for structure prediction, incorporating a lattice match toolkit.
  • Application of bonding constraints derived from stable bulk phases for generating initial interface structures.
  • Utilizing an interfacially confined swarm intelligence algorithm for efficient potential energy surface exploration.

Main Results:

  • The method successfully predicted known interface structures using only parent solid information.
  • Two novel grain boundary (GB) structures (r-GB and p-GB) in rutile TiO2 under reducing conditions were predicted.
  • The predicted p-GB structure exhibits a reduced band gap (0.7 eV) due to broadened Ti-3d interfacial levels from Ti3+ centers.

Conclusions:

  • The developed method provides an efficient approach for predicting complex interface structures.
  • Introducing grain boundaries is an effective strategy for engineering electronic properties of TiO2.
  • Predicted grain boundaries enhance the visible-light photoactivity of titanium dioxide.