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Dynamical Data for More Efficient and Generalizable Learning: A Case Study in Disordered Elastic Networks
ref [35] · 2505.21125 · notice #9169 · dispute
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author author J. Colen , author M. Han , author R. Zhang , author S. A. \ Redford , author L. M. \ Lemma , author L. Morgan , author P. V. \ Ruijgrok , author R. Adkins , author Z. Bryant , author Z. Dogic , author M. L. \ Gardel , author J. J. \ de Pablo , \ and\ author V. Vitelli ,\ title title Machine learning active-nematic hydrodynamics , \ 10.1073/pnas.2016708118 journal journal Proceedings of the National Academy of Sciences of the United States of America \ volume 118 ( year 2021 ),\ 10.1073/pnas.2016708118 NoStop
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author author J. Colen, author M. Han, author R. Zhang, author S. A. Redford, author L. M. Lemma, author L. Morgan, author P. V. Ruijgrok, author R. Adkins, author Z. Bryant, author Z. Dogic, author M. L. Gardel, author J. J. de Pablo, and author V. Vitelli, title title Machine learning active-nematic hydrodynamics, 10.1073/pnas.2016708118 journal journal Proceedings of the National Academy of Sciences of the United States of America volume 118 ( year 2021 ), 10.1073/pnas.2016708118