2022
DOI: 10.1007/s10853-022-07465-5
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Analytical methods for superresolution dislocation identification in dark-field X-ray microscopy

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Cited by 4 publications
(2 citation statements)
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“…fracture, radiation damage), a crystal grain with sufficiently well-understood defect structures may be measured in real-time, using simulations of all possible defect structures to evaluate the image features appearing in DFXM images collected at only a single crystal orientation. This may be done manually 19 , or using Bayesian inference for physics-informed image interpretation 46 .…”
Section: Resultsmentioning
confidence: 99%
“…fracture, radiation damage), a crystal grain with sufficiently well-understood defect structures may be measured in real-time, using simulations of all possible defect structures to evaluate the image features appearing in DFXM images collected at only a single crystal orientation. This may be done manually 19 , or using Bayesian inference for physics-informed image interpretation 46 .…”
Section: Resultsmentioning
confidence: 99%
“…Development is in progress for the automatic tracking of mobile dislocations in time sequences (Gonzalez et al, 2020). Bayesian inference methods can be used to improve the accuracy of the dislocation core position to $ 5 nm (Brennan et al, 2022). Due to the long range of strain fields from dislocations, these techniques are directly applicable to classical diffraction topography and rocking curve imaging.…”
Section: Future Evolutionmentioning
confidence: 99%