Article Type: Mini Review

Published: April, 2018

DOI: 10.31031/RDMS.2018.05.000611

Journal Name: Research & Development in Material Science

Abstract: This article is a review of our recent development in data-constrained modelling (DCM) methodology for quantitative and sample-non-destructive (SND) characterization of 3D microscopic composition distribution in materials, and microstructure-based predictive modelling of material multiphysics properties. Potential impacts are illustrated with examples in a range of R&D disciplines


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