It is formulated as a snapshot of materials innovations on selected alloy designs for improving mechanical performance. 15 This review provides further detail on the linkage models for Materials by Design, and methods of qualification adopted in AIM for a technology transfer from lab-scale materials innovation to industrial commercial practice. Although the AIM technique also takes mechanistic models as its basis, it requires extra effort in uncertainty quantification, design sensitivity analysis, integrated component-level process simulation and probabilistic prediction of manufacturing variation.Ī recent review of ICMD application highlights notable achievements made in ferrous materials. 14 In Materials by Design, both process–structure and structure–property models are evaluated and refined to maximise the model-predictability grounded in the Materials Genome, which is powered by fundamental research on high-quality databases. The quality of the materials innovation is determined by the mechanistic models applied in the ICMD framework, which follow the universal process–structure–property–performance paradigm in materials science. The application of both techniques spans the entire course of materials innovation, which can be divided into three phases: concept implementation, materials and processing design, and material qualification. As indicated in Figure 1, the backbone of the ICMD infrastructure is composed of Materials by Design and accelerated insertion of materials (AIM) techniques. In the development of applied engineering materials design powered by fundamental thermodynamic and kinetic genomic databases, a hierarchical infrastructure called ICMD presents a proven scenario of materials genomic design for accelerated engineering innovation. 13 The highest achievements of full cycle compression have been demonstrated in US research, which will be the focus of this paper. 5– 10 Particularly notable has been the design work of Bhadeshia 8 at the University of Cambridge and his former students including Harada 11, 12 and Reed. Creation of the infrastructure of this technology has been a global activity as summarised in a recent series of viewpoint papers on materials genomics. As a subfield of the broader field of integrated computational materials engineering (ICME), which includes modelling of existing materials, 3, 4 the MGI centres on design of new materials and their accelerated qualification through the inherent predictability of designed systems.

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.

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