Titlebook: Deep Learning in Computational Mechanics; An Introductory Cour Stefan Kollmannsberger,Davide D‘Angella,Leon Herrm Textbook 2021 The Editor(

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Physics-Informed Neural Networks,l equation, including the residual in the cost function. PINNs can be used for both solving and discovering differential equations. In this chapter, PINNs are illustrated with three one-dimensional examples. The first example shows how the displacement of a static bar can be computed. The temperatur

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1860-949X ion in a one-dimensional bar..Each chapter contains examples and exercises which are either solved analytically or in PyTorch, an open-source machine learning framework for python.. .?.978-3-030-76589-7978-3-030-76587-3Series ISSN 1860-949X Series E-ISSN 1860-9503

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tion mixing of neutrinos. The neutrino experiments described were carried out mainly by Japanese researchers. All the kamiokande results, detector performances, and complete references are included. Experiments regarding the neutrino‘s mass are represented in the direct mass measurement, the double beta-decay978-4-431-67031-5978-4-431-67029-2

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