*Corresponding author: YS Yang, CSIRO, Private Bag 10, Clayton, Victoria 3169, Australia, Tel: +61 3 9545 2759; Email: Sam.Yang@csiro.au
Submission: April 02, 2018;Published: April 12, 2018
ISSN : 2576-8840Volume5 Issue3
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.