Physics-Informed Neural Networks-Reference-Cited by-同舟云学术

Physics-Informed Neural Networks

Published:2021 Issue: Volume: Page:55-84
ISSN:1860-949X
Container-title:Deep Learning in Computational Mechanics
language:
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Author:

Kollmannsberger Stefan,D’Angella Davide,Jokeit Moritz,Herrmann Leon

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-76587-3_5

Reference33 articles.

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3. Risi Kondor. “N-body Networks: a Covariant Hierarchical Neural Network Architecture for Learning Atomic Potentials”. In: arXiv:1803.01588 [cs] (Mar. 5, 2018) (visited on 07/15/2020).

4. Matthew Hirn, Stéphane Mallat, and Nicolas Poilvert. “Wavelet Scattering Regression of Quantum Chemical Energies”. In: Multiscale Model. Simul. 15.2 (Jan. 2017), pp. 827–863. ISSN: 1540-3459, 1540-3467. DOI https://doi.org/10.1137/16M1075454. arXiv:1605.04654 (visited on 07/15/2020).

5. Stéphane Mallat. “Understanding deep convolutional networks”. In: Phil. Trans. R. Soc. A 374.2065 (Apr. 13, 2016), p. 20150203. ISSN: 1364-503X, 1471-2962. DOI https://doi.org/10.1098/rsta.2015.0203 (visited on 07/15/2020).

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