A physics-guided recurrent machine learning model for long-time prediction of nonlinear partial differential equation
Jean-Hughes Fournier Lupien  1, *, @  , Frédéric Sirois  1, *, @  , Christian Lacroix  1, *, @  
1 : Département de génie électrique [Montréal]
2900, boul. Édouard-Montpetit Campus de lÚniversité de Montréal 2500, chemin de Polytechnique Montréal (Québec) H3T 1J4 -  Canada
* : Corresponding author
Subject : : Oral
Topics : Modelling Fundamentals - OS-M1-PM
Keywords : Physics ; guided machine learning ; physics ; informed neural network ; nonlinear partial differential equation and deep learning
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