MeshingNet: A New Mesh Generation Method based on Deep Learning

Zhang, Z, Wang, Y orcid.org/0000-0002-5673-042X, Jimack, PK et al. (1 more author) (2020) MeshingNet: A New Mesh Generation Method based on Deep Learning. In: Lecture Notes in Computer Science. ICCS 2020: International Conference on Computational Science, 03-05 Jun 2020, Amsterdam, The Netherlands. Springer Verlag , pp. 186-198. ISBN 978-3-030-50419-9

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Copyright, Publisher and Additional Information: © Springer Nature Switzerland AG 2020. This is an author produced version of a conference paper published inLecture Notes in Computer Science. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: Mesh generation; Error equidistribution; Machine learning; Artificial neural networks
Dates:
  • Accepted: 15 April 2020
  • Published (online): 15 June 2020
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering (Leeds) > School of Computing (Leeds)
The University of Leeds > Faculty of Engineering (Leeds) > School of Mechanical Engineering (Leeds) > Institute of Engineering Thermofluids, Surfaces & Interfaces (iETSI) (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 16 Apr 2020 13:47
Last Modified: 24 Jun 2020 22:04
Status: Published online
Publisher: Springer Verlag
Identification Number: https://doi.org/10.1007/978-3-030-50420-5_14

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