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A hybrid modeling combining the proper generalized decomposition approach to data-driven model learners, with application to nonlinear biphasic materials

Research output: Contribution to journalArticlepeer-review

Original languageEnglish
Pages (from-to)259-273
Number of pages15
JournalComptes Rendus - Mecanique
Volume349
Issue number2
DOIs
StatePublished - 2021
Externally publishedYes

ASJC Scopus Subject Areas

  • General Materials Science
  • Mechanics of Materials

Keywords

  • Biphasic materials
  • Hybrid modeling
  • Machine learning
  • Model reduction
  • Neural network
  • Proper generalized decomposition

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