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Automated extraction of interfacial dislocations and disconnections from atomistic data
Abstract
Here we introduce Interfacial Line Defect Analysis (ILDA), a method for identifying and extracting interfacial dislocations and disconnections with little-to-no input from the user on the nature of the interface. By simply providing the orientations and coherency strains for the crystals in a coherent reference state of the interface, ILDA provides exact Burgers vectors. Alternatively, these orientations and strains can be estimated using local atomic deformation gradients, making ILDA fully automated and providing estimated Burgers vectors. ILDA also determines the step height associated with each defect line segment, in case the associated defect is a disconnection. The heart of the method is the identification of atoms residing at co-incidence sites between the two crystals and the construction of a surface mesh connecting these sites that is used to compose Burgers circuits and insert defect line segments. We demonstrate the performance of ILDA in two test cases: a twist grain boundary and a phase boundary.
- Authors:
-
- Rutgers Univ., Piscataway, NJ (United States)
- OVITO GmbH, Darmstadt (Germany)
- Publication Date:
- Research Org.:
- Rutgers Univ., Piscataway, NJ (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Basic Energy Sciences (BES)
- OSTI Identifier:
- 1992812
- Alternate Identifier(s):
- OSTI ID: 1988700
- Grant/Contract Number:
- SC0022154
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Acta Materialia
- Additional Journal Information:
- Journal Volume: 256; Related Information: Source code available on GitLab:https://gitlab.com/mmod_public/ilda; Journal ID: ISSN 1359-6454
- Publisher:
- Elsevier
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 36 MATERIALS SCIENCE; dislocation; disconnections; molecular dynamics; interfaces
Citation Formats
Deka, Nipal, Stukowski, Alexander, and Sills, Ryan B. Automated extraction of interfacial dislocations and disconnections from atomistic data. United States: N. p., 2023.
Web. doi:10.1016/j.actamat.2023.119096.
Deka, Nipal, Stukowski, Alexander, & Sills, Ryan B. Automated extraction of interfacial dislocations and disconnections from atomistic data. United States. https://doi.org/10.1016/j.actamat.2023.119096
Deka, Nipal, Stukowski, Alexander, and Sills, Ryan B. Wed .
"Automated extraction of interfacial dislocations and disconnections from atomistic data". United States. https://doi.org/10.1016/j.actamat.2023.119096.
@article{osti_1992812,
title = {Automated extraction of interfacial dislocations and disconnections from atomistic data},
author = {Deka, Nipal and Stukowski, Alexander and Sills, Ryan B.},
abstractNote = {Here we introduce Interfacial Line Defect Analysis (ILDA), a method for identifying and extracting interfacial dislocations and disconnections with little-to-no input from the user on the nature of the interface. By simply providing the orientations and coherency strains for the crystals in a coherent reference state of the interface, ILDA provides exact Burgers vectors. Alternatively, these orientations and strains can be estimated using local atomic deformation gradients, making ILDA fully automated and providing estimated Burgers vectors. ILDA also determines the step height associated with each defect line segment, in case the associated defect is a disconnection. The heart of the method is the identification of atoms residing at co-incidence sites between the two crystals and the construction of a surface mesh connecting these sites that is used to compose Burgers circuits and insert defect line segments. We demonstrate the performance of ILDA in two test cases: a twist grain boundary and a phase boundary.},
doi = {10.1016/j.actamat.2023.119096},
journal = {Acta Materialia},
number = ,
volume = 256,
place = {United States},
year = {Wed Jun 21 00:00:00 EDT 2023},
month = {Wed Jun 21 00:00:00 EDT 2023}
}
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