A Physical Model of Nanotwin Unit and Orientation Organization for Designing Mechanical Performance: Cases of InSb, GaAs, ZnS
Creators
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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- Supplemental Material: https://onlinelibrary.wiley.com/action/downloadSupplement?doi=10.1002%2Fadfm.202309174&file=adfm202309174-sup-0001-SuppMat.pdf (URL)
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
-
2023-10-06Version of Record online