Automated identification and indexing of dislocations in crystal interfaces

By Alexander Stukowski, Vasily V. Bulatov, Athanasios Arsenlis. 2012

2,134 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Biomedical Engineering, Materials Chemistry

View Paper: https://www.semanticscholar.org/paper/69cad06dc26140ef3a7c19f05cbd56a2d04fad1a

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Aerospace Engineering

1. Alexander Stukowski

In Biomedical Engineering

1. Alexander Stukowski
2. K. Albe
3. Bao-Nam Dinh Ngô
4. J. Markmann
5. N. Mameka
6. J. Weissmuller
7. T. Ala‐Nissila
8. Oleg Trushin

In Materials Chemistry

1. J. Weissmuller
2. J. Markmann
3. N. Mameka
4. Alexander Stukowski
5. K. Albe
6. Bao-Nam Dinh Ngô
7. T. Ala‐Nissila
8. Oleg Trushin

Citations in the corpus

• Global transition path search for dislocation formation in Ge on Si(001) (2016, methodology): “This method has been implemented in the visualization software OVITO [33] and can be used in the dislocation extraction algorithm [33, 34] to automatically identify dislocation defects and their Burgers vectors in crystals with diamond structure.”
• Anomalous Compliance and Early Yielding of Nanoporous Gold (2015, methodology): “Dislocation defects in the material were detected and identified with the dislocation extraction algorithm (DXA) [44, 45].”