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pro vyhledávání: '"Joost Prins"'
Autor:
Alessandro Corbetta, Alessandro Gabbana, Vitaliy Gyrya, Daniel Livescu, Joost Prins, Federico Toschi
Publikováno v:
European Physical Journal E : Soft Matter, 46(3):10. Springer
Abstract In this work, we explore the possibility of learning from data collision operators for the Lattice Boltzmann Method using a deep learning approach. We compare a hierarchy of designs of the neural network (NN) collision operator and evaluate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::76df63a3b1d4046a0789a7eb9296ab44
http://arxiv.org/abs/2212.06124
http://arxiv.org/abs/2212.06124
