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Efficient training of physics‐informed neural networks via importance sampling

Author(s): (NVIDIA Santa Clara California USA)
(Department of Civil and Environmental Engineering University of Illinois at Urbana‐Champaign Urbana Illinois USA)
(Department of Civil and Environmental Engineering University of Illinois at Urbana‐Champaign Urbana Illinois USA)
Medium: journal article
Language(s): English
Published in: Computer-Aided Civil and Infrastructure Engineering, , n. 8, v. 36
Page(s): 962-977
DOI: 10.1111/mice.12685
Structurae cannot make the full text of this publication available at this time. The full text can be accessed through the publisher via the DOI: 10.1111/mice.12685.
  • About this
    data sheet
  • Reference-ID
    10601279
  • Published on:
    17/04/2021
  • Last updated on:
    26/08/2021
 
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