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https://hdl.handle.net/10356/165033| Title: | Quantitative multi-image analysis in metals research | Authors: | Demkowicz, M. J. Liu, M. McCue, I. D. Seita, Matteo Stuckner, J. Xie, K. |
Keywords: | Engineering::Materials | Issue Date: | 2022 | Source: | Demkowicz, M. J., Liu, M., McCue, I. D., Seita, M., Stuckner, J. & Xie, K. (2022). Quantitative multi-image analysis in metals research. MRS Communications, 12(6), 1030-1036. https://dx.doi.org/10.1557/s43579-022-00265-7 | Project: | MOE2017-T2-2-119 | Journal: | MRS Communications | Abstract: | 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. | URI: | https://hdl.handle.net/10356/165033 | ISSN: | 2159-6859 | DOI: | 10.1557/s43579-022-00265-7 | Schools: | School of Mechanical and Aerospace Engineering School of Materials Science and Engineering |
Rights: | © The Author(s) 2022. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons. org/licenses/by/4.0/. | Fulltext Permission: | open | Fulltext Availability: | With Fulltext |
| Appears in Collections: | MAE Journal Articles MSE Journal Articles |
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| File | Description | Size | Format | |
|---|---|---|---|---|
| s43579-022-00265-7.pdf | 2.21 MB | Adobe PDF |  View/Open |
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