Physics-informed and graph neural networks for enhanced inverse analysis

  • Daniele Di Lorenzo
  • , Victor Champaney
  • , Chady Ghnatios
  • , Elias Cueto
  • , Francisco Chinesta

Research output: Contribution to journalArticlepeer-review

Original languageEnglish
Pages (from-to)2427-2455
Number of pages29
JournalEngineering Computations (Swansea, Wales)
Volume42
Issue number7
DOIs
StatePublished - Nov 5 2024

ASJC Scopus Subject Areas

  • Software
  • General Engineering
  • Computer Science Applications
  • Computational Theory and Mathematics

Keywords

  • Data completion
  • Graph neural networks
  • Inverse analysis
  • Machine learning
  • Model correction
  • Physics-informed neural networks

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