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Journal Articles Ultramicroscopy Year : 2015

Analysis of grain boundary dynamics using event detection and cumulative averaging

Abstract

To analyze exlended Lime series of high resolulion images, we have employed automated frame-by-frame comparisons that are able to detect dynamic changes in the structure of a grain boundary in Au. Using cumulative averaging of images between events allowed high resolution measurements of the atomic relaxation in the interface with sufficient accuracy for comparison with atomistic models. Cumulative averaging was also used to observe the structural rearrangement of atomic columns at a moving step in the grain boundary. The technique of analyzing changing features in high resolution images by averaging between incidents can be used to deconvolute stochastic events that occur at random intervals and on time scales well beyond that accessible to single-shot imaging. (C) 2014 Elsevier B.V. All rights reserved.

Dates and versions

hal-01593309 , version 1 (26-09-2017)

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A. Gautam, C. Ophus, Frédéric Lançon, P. Denes, Ulrich Dahmen. Analysis of grain boundary dynamics using event detection and cumulative averaging. Ultramicroscopy, 2015, 151, pp.78-84. ⟨10.1016/j.ultramic.2014.11.008⟩. ⟨hal-01593309⟩
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