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OVITO GmbH dislocation extraction algorithm dxa
Dislocations and stacking faults. Panel (a) shows the fly view of the system, presenting a line-based representation of the <t>dislocation</t> network combined with a sphere-based representation of stacking faults (Au atoms with hcp local structure are shown). The table in panel (b) summarizes the results of the <t>DXA</t> analysis and explains the color coding used in panel (a). The number of identified dislocation segments and their total length are given for each dislocation type.
Dislocation Extraction Algorithm Dxa, supplied by OVITO GmbH, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/dxa+algorithm/dislocation+extraction+algorithm++dxa+/pmc12079803-359-8-18
Average 90 stars, based on 1 article reviews
dislocation extraction algorithm dxa - by Bioz Stars, 2026-09
90/100 stars

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1) Product Images from "Novel Method for Realistically Simulating the Deposition of Thin Films from the Gas Phase and its Application to Study the Growth of Thin Gold Film on Crystalline Silicon"

Article Title: Novel Method for Realistically Simulating the Deposition of Thin Films from the Gas Phase and its Application to Study the Growth of Thin Gold Film on Crystalline Silicon

Journal: Journal of Chemical Theory and Computation

doi: 10.1021/acs.jctc.5c00319

Dislocations and stacking faults. Panel (a) shows the fly view of the system, presenting a line-based representation of the dislocation network combined with a sphere-based representation of stacking faults (Au atoms with hcp local structure are shown). The table in panel (b) summarizes the results of the DXA analysis and explains the color coding used in panel (a). The number of identified dislocation segments and their total length are given for each dislocation type.
Figure Legend Snippet: Dislocations and stacking faults. Panel (a) shows the fly view of the system, presenting a line-based representation of the dislocation network combined with a sphere-based representation of stacking faults (Au atoms with hcp local structure are shown). The table in panel (b) summarizes the results of the DXA analysis and explains the color coding used in panel (a). The number of identified dislocation segments and their total length are given for each dislocation type.

Techniques Used:

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Article Title: The impact of alloying on defect-free nanoparticles exhibiting softer but tougher behavior
Article Snippet: The visualization is implemented by the DXA algorithm using OVITO [?

Article Title: Basic study of the relaxation volume of crystalline defects in bcc iron
Article Snippet: Relaxed cells with <100> and 1⁄2<111> dislocation loops are shown in Fig. 2a-b, respectively; dislocation loops were detected using the dedicated DXA algorithm [33] of the OVITO software [30].

Article Title: Unsupervised learning for structure detection in plastically deformed crystals
Article Snippet: The Fig. C.13(c) and (d) show for the same viewpoints as (a) and (b), respectively, the location of the dislocation lines obtain by the DXA algorithm implemented in OVITO.

Article Title: Mechanistic understanding of enhanced thermal stability of twinned copper nanowires
Article Snippet: Thermal instability problems of nanostructured materials, including grain coarsening and recrystallization, can be alleviated by introducing nanoscale coherent twin boundary (CTB) structures.. However, the detailed interaction mechanism between CTB and grain boundaries (GBs) during microstructural transformation has not been well elucidated.. To gain insight, we investigate the migration behavior of CTB-intercepted GBs in twinned copper nanowires at elevated temperatures through transmission electron microscopic observations and molecular dynamics simulations.

Article Title: Secondary slip of screw dislocations in zirconium
Article Snippet: We extract the dislocation position from these simulations using DXA algorithm [24] implemented in Ovito [25].

Article Title: Direct observation of deformation and resistance to damage accumulation during shock loading of stabilized nanocrystalline Cu-Ta alloys
Article Snippet: In particular, OVITO’s DXA algorithm was utilized to calculate the dislocation density.

Article Title: Understanding the strain-dependent structure of Cu nanocrystals in Ag-Cu nanoalloys.
Article Snippet: The structure of octahedral Ag–Cu nanoalloys is investigated by means of basin hopping Monte Carlo (BHMC) searches involving the optimization of shape and chemical ordering.. Due to the significant size mismatch between Ag and Cu, the misfit strain plays a key role in determining the structure of Ag–Cu nanoalloys.. At all the compositions, segregated chemical ordering is observed.

Article Title: Growth and Deformation Simulation of Aluminum Bronze Grains Produced by Electron Beam Additive Manufacturing
Article Snippet: To identify defects in the crystal lattice, the DXA (Dislocation Extraction Algorithm) algorithm was used, implemented in the OVITO program [38,39].



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Dislocations and stacking faults. Panel (a) shows the fly view of the system, presenting a line-based representation of the <t>dislocation</t> network combined with a sphere-based representation of stacking faults (Au atoms with hcp local structure are shown). The table in panel (b) summarizes the results of the <t>DXA</t> analysis and explains the color coding used in panel (a). The number of identified dislocation segments and their total length are given for each dislocation type.
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Dislocations and stacking faults. Panel (a) shows the fly view of the system, presenting a line-based representation of the <t>dislocation</t> network combined with a sphere-based representation of stacking faults (Au atoms with hcp local structure are shown). The table in panel (b) summarizes the results of the <t>DXA</t> analysis and explains the color coding used in panel (a). The number of identified dislocation segments and their total length are given for each dislocation type.
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Dislocations and stacking faults. Panel (a) shows the fly view of the system, presenting a line-based representation of the <t>dislocation</t> network combined with a sphere-based representation of stacking faults (Au atoms with hcp local structure are shown). The table in panel (b) summarizes the results of the <t>DXA</t> analysis and explains the color coding used in panel (a). The number of identified dislocation segments and their total length are given for each dislocation type.
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Dislocations and stacking faults. Panel (a) shows the fly view of the system, presenting a line-based representation of the <t>dislocation</t> network combined with a sphere-based representation of stacking faults (Au atoms with hcp local structure are shown). The table in panel (b) summarizes the results of the <t>DXA</t> analysis and explains the color coding used in panel (a). The number of identified dislocation segments and their total length are given for each dislocation type.
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Dislocations and stacking faults. Panel (a) shows the fly view of the system, presenting a line-based representation of the <t>dislocation</t> network combined with a sphere-based representation of stacking faults (Au atoms with hcp local structure are shown). The table in panel (b) summarizes the results of the <t>DXA</t> analysis and explains the color coding used in panel (a). The number of identified dislocation segments and their total length are given for each dislocation type.
Dislocation Extraction Algorithm (Dxa), supplied by OVITO GmbH, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Dislocations and stacking faults. Panel (a) shows the fly view of the system, presenting a line-based representation of the <t>dislocation</t> network combined with a sphere-based representation of stacking faults (Au atoms with hcp local structure are shown). The table in panel (b) summarizes the results of the <t>DXA</t> analysis and explains the color coding used in panel (a). The number of identified dislocation segments and their total length are given for each dislocation type.
Dxa Algorithm, supplied by OVITO GmbH, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/dxa+algorithm/dxa+algorithm/pmc11499930-286-3-2
Average 90 stars, based on 1 article reviews
dxa algorithm - by Bioz Stars, 2026-09
90/100 stars
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Dislocations and stacking faults. Panel (a) shows the fly view of the system, presenting a line-based representation of the dislocation network combined with a sphere-based representation of stacking faults (Au atoms with hcp local structure are shown). The table in panel (b) summarizes the results of the DXA analysis and explains the color coding used in panel (a). The number of identified dislocation segments and their total length are given for each dislocation type.

Journal: Journal of Chemical Theory and Computation

Article Title: Novel Method for Realistically Simulating the Deposition of Thin Films from the Gas Phase and its Application to Study the Growth of Thin Gold Film on Crystalline Silicon

doi: 10.1021/acs.jctc.5c00319

Figure Lengend Snippet: Dislocations and stacking faults. Panel (a) shows the fly view of the system, presenting a line-based representation of the dislocation network combined with a sphere-based representation of stacking faults (Au atoms with hcp local structure are shown). The table in panel (b) summarizes the results of the DXA analysis and explains the color coding used in panel (a). The number of identified dislocation segments and their total length are given for each dislocation type.

Article Snippet: We also used other analysis methods, including the dislocation extraction algorithm (DXA) proposed by Stukowski, , implemented in OVITO, a program that we used for performing structural analyses (PTM, IDS and DXA) and for preparing visualizations.

Techniques: