Objective 1.
Accelerate Materials R&D Deployment Through the Application of Artificial Intelligence (AI)
Encourage more “AI-ready” materials R&D data
Creating the next generation of wound film capacitors. See https://doi.org/10.1002/adma.201600377. |
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Build upon FAIR data policies to ensure more AI-ready datasets.
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Incentivize the implementation of FAIR data practices.
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Provide tools to assess the quality of data.
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Develop and incentivize the adoption of community-developed metadata standards.
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Remove barriers to AI-driven materials R&D for U.S. manufacturing
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Demonstrate application of materials-informed AI approaches to in operando manufacturing processes.
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Translate autonomous R&D techniques from the laboratory to the shop floor.
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Promote AI-driven techniques through workshops, symposia, and the articulation of third-millenium problems.
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MGI Impact Stories
Ensuring reproducibility in the application of AI to materials R&D
Using ARES OS™ software to build your own autonomous research robot