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PIGNN-CFD: A physics-informed graph neural network for rapid predicting urban wind field defined on unstructured mesh

Author(s):




Medium: journal article
Language(s): English
Published in: Building and Environment, , v. 232
Page(s): 110056
DOI: 10.1016/j.buildenv.2023.110056
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: 10.1016/j.buildenv.2023.110056.
  • About this
    data sheet
  • Reference-ID
    10713630
  • Published on:
    21/03/2023
  • Last updated on:
    21/03/2023
 
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