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Grand Challenges in Soft Matter Science: Prospects for Microgravity Research

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Grand Challenges in Soft Matter Science: Prospects for Microgravity Research

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  • Author: James Ferri
There was great enthusiasm for the breakthroughs that have occurred in the past two decades: in materials, in experimental, simulational, and theoretical techniques, and in technologies and phenomena discovered. As has been emphasized in other reviews of the soft matter research challenges (Nagel, 2017), these advances have significantly changed the vision and direction of this field and portend an exciting future. There was a great deal of overlap in the goals, directions, and challenges that arose within the separate breakout sessions: 1. Advances in machine learning, artificial intelligence, big data, and simulations have changed not only the way data are currently analyzed but also affect how experiments are being conceived and executed.

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