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5

Andréa Seltz


Article dans une revue1 document

  • Andréa Seltz, Pascale Domingo, Luc Vervisch, Zacharias Nikolaou. Direct mapping from LES resolved scales to filtered-flame generated manifolds using convolutional neural networks. Combustion and Flame, Elsevier, 2019, 210, pp.71-82. ⟨10.1016/j.combustflame.2019.08.014⟩. ⟨hal-02313873⟩

Communication dans un congrès4 documents

  • Andréa Seltz, Pascale Domingo, Luc Vervisch. Machine learning for sub-grid scale turbulent combustion modeling. 15th US National Congress on Computational Mechanics, 2019, Austin, United States. ⟨hal-02420284⟩
  • Andréa Seltz, Pascale Domingo, Luc Vervisch. Machine learning for sub-grid scale turbulent combustion modeling. 9th ECM, 2019, Lisbonne, Portugal. ⟨hal-02132220⟩
  • Andréa Seltz, Pascale Domingo, Luc Vervisch. Large-eddy simulation of premixed turbulent combustion using a convolutional neural network. SIAM Int. Conf. on Numerical Combustion, 2019, Aix-la-Chapelle, Germany. ⟨hal-02132225⟩
  • Andréa Seltz, Pascale Domingo, Luc Vervisch. Machine learning for turbulent combustion modeling in high-fidelity LES. 1rst HiFiLeD Symposium, 2018, Bruxelles, Belgium. ⟨hal-02420297⟩