On the use of recurrent neural networks for fast and accurate non-uniform gas radiation modeling

Frédéric André (1) , Céline Cornet (2) , Cindy Delage (1) , Philippe Dubuisson (2) , Mathieu Galtier (1)

1 CETHIL - Centre d'Energétique et de Thermique de Lyon
2 LOA - Laboratoire d’Optique Atmosphérique - UMR 8518

Domaines: Sciences de l'ingénieur [physics]

Frédéric André, Céline Cornet, Cindy Delage, Philippe Dubuisson, Mathieu Galtier. On the use of recurrent neural networks for fast and accurate non-uniform gas radiation modeling. Journal of Quantitative Spectroscopy and Radiative Transfer, 2022, 293, pp.108371. ⟨10.1016/j.jqsrt.2022.108371⟩. ⟨hal-03826189⟩