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Title: Can we predict mixed grain boundaries from their tilt and twist components?
One of the major challenges towards understanding and further utilizing the properties and functional behaviors of grain boundaries (GB) is the complexity of general GBs with mixed tilt and twist character. Here, we report the correlations between mixed GBs and their tilt and twist components in terms of structure, energy and stress field by computationally examining 7440 silicon GBs. Such correlations indicate that low angle mixed GBs are formed through the reconstruction mechanisms between their superposed tilt and twist components, which are revealed as the energetically favorable dissociation, motion and reaction of dislocations and stacking faults. In addition, various complex disconnection network structures are discovered near the conventional twin and structural unit GBs, implying the role of disconnection superposition in forming high angle mixed GBs. By unveiling the energetic correlation, an extended Read-Shockley model that predicts the general trends of GB energy is proposed and confirmed in various GB structures across different lattices. Finally, this work is validated in comparison with experimental observations and first-principles calculations.  more » « less
Award ID(s):
1817321
PAR ID:
10539695
Author(s) / Creator(s):
; ;
Publisher / Repository:
Elsevier
Date Published:
Journal Name:
Acta Materialia
Volume:
279
Issue:
C
ISSN:
1359-6454
Page Range / eLocation ID:
120293
Subject(s) / Keyword(s):
Grain boundary Dislocation Disconnection Atomistic simulation Silicon
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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