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
JournalEngineering Computations (Swansea, Wales)
DOIs
StateAccepted/In press - 2024
Externally publishedYes

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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