Quantitative multi-image analysis in metals research. Academic Article

abstract

• UNLABELLED: 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1557/s43579-022-00265-7.

authors

• Demkowicz, Michal
• Xie, Yu Kelvin

published proceedings

• MRS Commun

altmetric score

• 1

author list (cited authors)

• Demkowicz, M. J., Liu, M., McCue, I. D., Seita, M., Stuckner, J., & Xie, K.

citation count

• 0

complete list of authors

• Demkowicz, MJ||Liu, M||McCue, ID||Seita, M||Stuckner, J||Xie, K

publication date

• January 2022

publisher

• Springer Nature  Publisher

published in

• MRS Communications  Journal

keywords

• 40 Engineering
• 4016 Materials Engineering
• 51 Physical Sciences
• 5104 Condensed Matter Physics

Digital Object Identifier (DOI)

• 10.1557/s43579-022-00265-7

start page

• 1030

end page

• 1036

volume

• 12

issue

• 6

URL

• http://dx.doi.org/10.1557/s43579-022-00265-7