Author by: YS Yang*
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