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  5. The innate interfacial elastic strain field of a transformable B2 precipitate embedded in an amorphous matrix

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Article
English
2023

The innate interfacial elastic strain field of a transformable B2 precipitate embedded in an amorphous matrix

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0 Files

English
2023
npj Computational Materials
Vol 9 (1)
DOI: 10.1038/s41524-023-01182-6

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Robert O. Ritchie
Robert O. Ritchie

University of California, Berkeley

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Xiaoling Fu
Yujun Lin
Mixun Zhu
+10 more

Abstract

When a transformable B2 precipitate is embedded in an amorphous matrix, it is often experimentally observed that the crystalline-amorphous interface not only serves as an initiation site for the martensitic transformation due to local stress concentrations, but also as an inhibitor to stabilize the transformation, the latter being attributed to the “confinement effect” exerted by the amorphous matrix, according to the Eshelby solution. These two seemingly incongruous factors are examined in this study using molecular dynamics simulations from an atomic interaction perspective. An innate strain gradient in the vicinity of the crystalline-amorphous interface is identified. The actual interface, the compressive/dilatative transition, and the interfacial maximum strain are investigated to differentiate from the conventional “interface” located within a distance of a few nanometers. Our innate interfacial elastic strain field model is applicable for the design of materials with a higher degree of martensitic transformation and controllable stress concentration, even in cryogenic environments.

How to cite this publication

Xiaoling Fu, Yujun Lin, Mixun Zhu, Kai Wang, Jiaqing Wu, Xing Tong, Wenli Song, Ming Jen Tan, Yuanzheng Yang, Jun Shen, Gang Wang, C.H. Shek, Robert O. Ritchie (2023). The innate interfacial elastic strain field of a transformable B2 precipitate embedded in an amorphous matrix. npj Computational Materials, 9(1), DOI: 10.1038/s41524-023-01182-6.

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Publication Details

Type

Article

Year

2023

Authors

13

Datasets

0

Total Files

0

Language

English

Journal

npj Computational Materials

DOI

10.1038/s41524-023-01182-6

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