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pro vyhledávání: '"Schüttler, Janik"'
To establish general principles of optimal control of active matter, we study the elementary problem of moving an active particle by a trap with minimum work input. We show analytically that (open-loop) optimal protocols are not affected by activity,
Externí odkaz:
http://arxiv.org/abs/2407.18542
We study the effect of phase separating diffusive dynamics on the mean time to extinction in several reaction-diffusion models with slow reactions. We consider a continuum theory similar to model AB, and a simple model where individual particles on t
Externí odkaz:
http://arxiv.org/abs/2404.07563
Autor:
Ramchandra Sharad Mangrulkar, Antonis Michalas, Narendra Shekokar, Meera Narvekar, Pallavi Vijay Chavan
Machine learning (ML) and deep learning (DL) algorithms are invaluable resources for Industry 4.0 and allied areas and are considered as the future of computing. A subfield called neural networks, to recognize and understand patterns in data, helps a