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Digital Fingerprinting of Microstructures
Digital Fingerprinting of Microstructures
Digital Fingerprinting of Microstructures
Finding efficient means of quantitatively describing material microstructure is a critical step towards harnessing data-centric machine learning approaches to understanding and pre- dicting processing-microstructure-property relationships. Current quantitative descriptors of microstructure tend to consider only specific, narrow features such as grain size or phase fractions, but these metrics discard vast amounts of information. Since the gain in trac- tion of machine learning and computer ...
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