Analysis of grain boundary dynamics using event detection and cumulative averaging

作者: A. Gautam , C. Ophus , F. Lançon , P. Denes , U. Dahmen

DOI: 10.1016/J.ULTRAMIC.2014.11.008

关键词:

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

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