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We use autonomous experimentation to elucidate the role of composition, processing, and microstructure on the aqueous corrosion of complex metal alloys. To do
We are developing novel machine learning algorithms and incorporating them into closed-loop autonomous systems to accelerate knowledge capture in the lab and in
Digital battery passports (DBPs), if implemented on a large scale, can provide the electric vehicle battery community with valuable data to support sustainable
With increasing use of data-driven methodologies, concerns around data discovery, data access, and data interoperability have come to the forefront. Communities
We develop combinatorial measurement methods and metrologies for the rapid generation of comprehensive and consistent datasets. Manufacturers of devices based
Using AI tools and physics-, chemistry-, and materials science-based knowledge, this project is aimed at developing machine learning (ML) algorithms to enable
We are educating the next generation workforce with MGI skills and providing tools to rapidly deploy these skills. This includes knowledge and tools for machine
We are developing machine learning algorithms to accelerate the discovery and optimization of advanced materials. These new algorithms form part of a data