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Transvalor (France)

France

4 papers here10 citations across 4
fields
  • cs.LG2
  • cs.DC1
  • math.NA1
ROR 021wwet11OpenAlex

affiliations via OpenAlex

most citedPhysics-Informed Graph-Mesh Networks for PDEs: A hybrid approach for complex problems

7 citations

researchers with a paper here
  • J. Alves2 profiles3 · h 2
  • M. Chenaud2 profiles2 · h 1
  • A. Arnoud1 · h 2
  • A. Markus1 · h 5
  • Aurélien Pion1 · h 2
  • Emmanuel Vazquez1 · h 2
  • F. Magoulès1 · h 1
  • Frédéric Magoulès1
  • Michele Esposito Marzino1 · h 1
  • V. Magnin1 · h 1
collaborating institutions
  • CentraleSupélecFR3 papers
  • Université Paris-SaclayFR2 papers
  • DeltaresNL1 paper
  • Institut d'électronique de microélectronique et de nanotechnologieFR1 paper
  • International Monetary FundUS1 paper
  • Laboratoire des signaux et systèmesFR1 paper
  • Mathématiques et Informatique pour la Complexité et les Systèmes1 paper
  • University of LiègeBE1 paper
  • University of PecsHU1 paper
Showing math.NAShow all

1 paper · 1 filter

math.NA2024★ 7 cited

Physics-Informed Graph-Mesh Networks for PDEs: A hybrid approach for complex problems

Marien Chenaud, Frédéric Magoulès, José Alves

The recent rise of deep learning has led to numerous applications, including solving partial differential equations using Physics-Informed Neural Networks. This approach has proven…

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