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Award ID contains: 2013949

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  1. ; (, Proceedings of the National Academy of Sciences)
    This article introduces a special issue on the interaction between the rapidly expanding field of machine learning and ongoing research in physics. The first half of the papers in this issue deals with the question, what can machine learning do for physics? The second part asks the reverse, what can physics do for machine learning? As we will see, both of these directions are being vigorously pursued. 
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  2. ; (, Soft Matter)
    We offer our opinion on the benefits of integration of insights from active matter physics with principles of regulatory interactions and control to develop a field we term “smart active matter”. This field can provide insight into important principles in living systems as well as aid engineering of responsive, robust and functional collectives. 
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