Published January 15, 2024 | Version Supplemental material
Journal Article Open

A Physical Model of Nanotwin Unit and Orientation Organization for Designing Mechanical Performance: Cases of InSb, GaAs, ZnS

  • 1. ROR icon Wuhan University of Technology
  • 2. ROR icon California Institute of Technology

Abstract

Functional unit and organization (FUO) paradigm starts with functional units and assembles these functional units into specific organizations to optimize material performance. An advantage of FUO paradigm is interpretation of physical essence of traditional structure–performance relationships. Experimental achievements based on FUO paradigm abound in recent years, demanding theoretical explanations for further quantitative material design. Following FUO paradigm, here a three‐step model (bond‐region‐structure) of nanotwin (NT) unit and orientation organization to optimize mechanical performance is established. First, anisotropic elasticities of representative bonds and assembled regional elastic constants are evaluated. Second, yield conditions of different regions, which are summarized as critical resolved shear stress (CRSS) criteria of NT structure, are quantified. Third, anisotropic yield strengths of NT structure from the regional elastic constants and CRSS criteria are derived. This FUO‐based model is implemented into InSb, GaAs, and ZnS, predicted elastic constants and yield strengths are validated with molecular dynamics (MD) simulations. The method is more efficient than MD with comparable accuracy, and is also flexible to combine with density function theory and experiment. This demonstration sets foundation of NT unit and orientation organization design for achieving optimum mechanical performance.

Copyright and License

© 2023 Wiley-VCH GmbH.

Acknowledgement

The authors acknowledged Sandia National Laboratories for distributing the open-source MD software LAMMPS. This work was supported by the National Natural Science Foundation of China (Nos. 52022074, 92163212, 92163119, and 92163215), and Knowledge Innovation Program of Wuhan-Basic Research (No. 2022010801010177). WAG was supported by NSF (No. CBET 2311117).

Funding

This work was supported by the National Natural Science Foundation of China (Nos. 52022074, 92163212, 92163119, and 92163215), and Knowledge Innovation Program of Wuhan-Basic Research (No. 2022010801010177). WAG was supported by NSF (No. CBET 2311117).

Data Availability

The data that support the findings of this study are available in the supplementary material of this article.

Supplemental Material

Supporting information (PDF).

 

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Additional details

Funding

National Natural Science Foundation of China
52022074
National Natural Science Foundation of China
92163212
National Natural Science Foundation of China
92163119
National Natural Science Foundation of China
92163215
Wuhan University of Technology
2022010801010177
National Science Foundation
CBET-2311117

Dates

Available
2023-10-06
Version of Record online

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Publication Status
Published