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Goal 1. Unify the Materials Innovation Infrastructure
The Materials Innovation Infrastructure (MII) is a suite of interdisciplinary tools and capabilities for supporting the MGI approach to materials, including
Computational (theory, modeling, and simulation) tools
Experimental (synthesis, characterization, and processing) tools
Integrated research platforms
Data infrastructure
We will continue to expand the reach of the MII into all materials properties, synthesis, processing, and manufacturing methods while reducing barriers to integration of data and use of these tools.
Objective 1. Bridge, Build and Bolster Elements of the MII
Thousands of transistors within unique devices having varied micrometer-scale physical dimensions were manufactured using a materials genome approach. The electron micrograph cross section (left) has many possible transistor designs (three examples at right) that were tested over many thermal and electrical loading conditions. See https://doi-org.wrs.idm.oclc.org/10.1016/j.jcrysgro.2019.04.008
Credit: Air Force Research Laboratory
Address gaps in computational tools
Identify and bridge the current computational tool gaps, especially those that present barriers to accessibility to the diversity of stakeholders along the materials development continuum.
Leverage and build on the national computational infrastructure by nurturing the development of community codes, and the incorporation of these techniques into commercial codes.
Build connections to and strengthen collaboration with related communities to bolster cross-disciplinary computational research and tool sharing and development.
Expand availability of experimental tools
Develop a strategy to expand synthesis and processing tools to more materials classes and to develop multimodal characterization tools.
Leverage advances and bolster development of modular, autonomous, integrated, high-throughput experimental tools—from lab to manufacturing.
Identify and remove barriers that limit access by a diverse user community, including historically black colleges and universities and other minority serving institutions, to state-of-the-art instrumentation.
Develop integrated materials platforms
Convene workshops to build community and identify incentives and barriers to collaboration.
Identify pilot projects to seed the development of integrated materials platforms.
Learn from industrial exemplars of integrated materials platforms
Build out a comprehensive data infrastructure
Create tools, standards, and implement policies to encourage FAIR data principles.
Support the bridging, building, and bolstering of data infrastructures.
Objective 2. Foster a National Materials Data Network, a Community-Led Alliance of Data Generators and Users from Product Development and Manufacturing, to Recycling
Address the stakeholder incentive challenge
Identify, collaborate with, and support community efforts towards creating a national materials data network.
Develop a framework for coupling and integrating public and private data repositories.
Pilot efforts in automated data workflows from experimental equipment to data repositories.
Identify and bridge gaps
Identify, bridge gaps, and unify existing data infrastructures.
Develop data exchange standards and protocols.
Identify complementary international efforts for collaboration where practical.
Develop and implement sustainment strategies, including data infrastructure roadmaps.