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New machine learning research could transform healthcare and energy storage

Researchers from our Departments of Chemical and Biological Engineering and Automatic Control and Systems Engineering are developing powerful machine learning algorithms that predict the structure of materials as they are created. This could lead to improvements in sensors for medical diagnostic equipment and solar cells, for example.