Andrea Daru UChicago PME (IMAGE)
Caption
University of Chicago postdoctoral scholar Andrea Darù is the first author of a paper describing an end-to-end, machine-learning-guided workflow that smooths the often-bumpy path new materials face when going from academic idea to manufacture-ready reality.
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UChicago Pritzker School of Molecular Engineering
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