Improving Energy Materials Using Quantum Physics and Machine Learning (video)

Materials are useful – they store energy for cell phones and electric cars, turn sunlight into electricity, and track your movements while you exercise. How do scientists understand and improve materials at the level of atoms? And what does machine learning and quantum physics have to do with all of this? Maria Chan, a scientist at Argonne National Laboratory, will explain the state of the art of materials discovery and improvement. This event is part of our STEM lecture series.

Watch this talk here: Improving Energy Materials Using Quantum Physics and Machine Learning (MVCC login required off campus).

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