The aim of this research area is to help revolutionize materials science, and to identify new components of advanced batteries that can power future zero-emissions and carbon-neutral vehicles. The challenges in this area include highly nonlinear phenomena in active particles and across electrodes due to coupled physics; emergent behavior due to interaction between quantum, atomistic, particle and electrode scales; and the need for predictive capability requiring data-driven communication across scales. One of the goals of the group is to integrate machine learning into this research.

For more information, contact micde-contact@umich.edu.

Projects


Toyota Research Institute

With a $2.4 million investment from theĀ Toyota Research Institute, University of Michigan researchers will develop computer simulation tools to predict automotive battery performance.

The project is part of a four-year, $35 million investment with research entities, universities and companies on research that uses artificial intelligence to help accelerate the design and discovery of advanced materials, which TRI announced in Spring 2017.

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