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Cited by 2,375

The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.

Automated identification and indexing of dislocations in crystal interfaces

Stukowski, Alexander, Bulatov, Vasily V, Arsenlis, Athanasios·2012·Modelling and Simulation in Materials Science and Engineering

Abstract

We present a computational method for identifying partial and interfacial dislocations in atomistic models of crystals with defects. Our automated algorithm is based on a discrete Burgers circuit integral over the elastic displacement field and is not limited to specific lattices or dislocation types. Dislocations in grain boundaries and other interfaces are identified by mapping atomic bonds from the dislocated interface to an ideal template configuration of the coherent interface to reveal incompatible displacements induced by dislocations and to determine their Burgers vectors. In addition, the algorithm generates a continuous line representation of each dislocation segment in the crystal and also identifies dislocation junctions.

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Crossref · 10.1088/0965-0393/20/8/085007

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Metadata

Authors
Stukowski, A., Bulatov, V. V., & Arsenlis, A.
Venue
Modelling and Simulation in Materials Science and Engineering
Published
2012-10-31
Volume
20
Issue
8
Pages
085007
ISSN
  • 0965-0393 (ISSN-L)
  • 1361-651X
OpenAlex
W2150492737
Cited by
2,375
References
11
FWCI
7.10
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Automated identification and indexing of dislocations in crystal interfaces. https://app.cochat.ai/papers/10.1088/0965-0393/20/8/085007
The paper
Stukowski, A., Bulatov, V. V., & Arsenlis, A. (2012). Automated identification and indexing of dislocations in crystal interfaces. Modelling and Simulation in Materials Science and Engineering. https://doi.org/10.1088/0965-0393/20/8/085007

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.