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• W3005786300 abstract "Identifying if two knots are similar is an open problem that cuts across several disciplines from mathematics to physical sciences; the main challenge is that the knot type is a global property that cannot be determined by looking only locally. In this paper, the authors apply supervised learning techniques to the knot recognition problem in polymers, showing what artificial neural networks can do to address it." @default.
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• W3005786300 date "2020-02-11" @default.
• W3005786300 modified "2023-09-27" @default.
• W3005786300 title "Identifying knot types of polymer conformations by machine learning" @default.
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• W3005786300 doi "https://doi.org/10.1103/physreve.101.022502" @default.
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