Litcius/Paper detail

An advanced hybrid deep adversarial autoencoder for parameterized nonlinear fluid flow modelling

Meiling Cheng, F. Fang, Christopher C. Pain, I. M. Navon

2020Computer Methods in Applied Mechanics and Engineering45 citationsDOIOpen Access PDF

Topics & Concepts

AutoencoderComputer scienceNonlinear systemDeep learningComputationConvolutional neural networkParameterized complexityFluid dynamicsFlow (mathematics)Artificial intelligenceAlgorithmMathematicsPhysicsGeometryMechanicsQuantum mechanicsModel Reduction and Neural NetworksLattice Boltzmann Simulation StudiesGenerative Adversarial Networks and Image Synthesis
An advanced hybrid deep adversarial autoencoder for parameterized nonlinear fluid flow modelling | Litcius