Abstract
AbstractCybermaterials innovation entails an integration of Materials by Design and accelerated insertion of materials (AIM), which transfers studio ideation into industrial manufacturing. By assembling a hierarchical architecture of integrated computational materials design (ICMD) based on materials genomic fundamental databases, the ICMD mechanistic design models accelerate innovation. We here review progress in the development of linkage models of the process-structure–property-performance paradigm, as well as related design accelerating tools. Extending the materials development capability based on phase-level structural control requires more fundamental investment at the level of the Materials Genome, with focus on improving applicable parametric design models and constructing high-quality databases. Future opportunities in materials genomic research serving both Materials by Design and AIM are addressed.
Highlights
The far-reaching multi-agency enterprise, Materials Genome Initiative (MGI),[1,2] highlights computational materials design techniques grounded in fundamental databases, which can support an ambition of decreasing the full development cycle of new materials from the present 10–20 years to ⩽ 5 years
This review provides further detail on the linkage models for Materials by Design, and methods of qualification adopted in accelerated insertion of materials (AIM) for a technology transfer from lab-scale materials innovation to industrial commercial practice
Design sensitivity analysis was performed using a combined method of Monte Carlo simulation and iCMD, implemented through the commercial iSIGHT design optimization platform
Summary
Cybermaterials innovation entails an integration of Materials by Design and accelerated insertion of materials (AIM), which transfers studio ideation into industrial manufacturing. By assembling a hierarchical architecture of integrated computational materials design (ICMD) based on materials genomic fundamental databases, the ICMD mechanistic design models accelerate innovation. We here review progress in the development of linkage models of the process-structure–property-performance paradigm, as well as related design accelerating tools. Extending the materials development capability based on phase-level structural control requires more fundamental investment at the level of the Materials Genome, with focus on improving applicable parametric design models and constructing high-quality databases. Future opportunities in materials genomic research serving both Materials by Design and AIM are addressed. Npj Computational Materials (2016) 2, 15009; doi:10.1038/npjcompumats.2015.9; published online 12 February 2016
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