Quantitative multi-image analysis in metals research

Quantitative multi-image analysis (QMA) is the systematic extraction of new information and insight through the simultaneous analysis of multiple, related images. We present examples illustrating the potential for QMA to advance materials research in multi-image characterization, automatic feature i...

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Detalles Bibliográficos
Autores principales: Demkowicz, M. J., Liu, M., McCue, I. D., Seita, M., Stuckner, J., Xie, K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2022
Materias:
Computational Approaches for Materials Discovery and Development Prospective
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9718709/
https://www.ncbi.nlm.nih.gov/pubmed/36474648
http://dx.doi.org/10.1557/s43579-022-00265-7
Descripción
Sumario:Quantitative multi-image analysis (QMA) is the systematic extraction of new information and insight through the simultaneous analysis of multiple, related images. We present examples illustrating the potential for QMA to advance materials research in multi-image characterization, automatic feature identification, and discovery of novel processing-structure–property relationships. We conclude by discussing opportunities and challenges for continued advancement of QMA, including instrumentation development, uncertainty quantification, and automatic parsing of literature data. GRAPHICAL ABSTRACT: [Image: see text] SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1557/s43579-022-00265-7.

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