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quant-ph2023
Unsupervised Random Quantum Networks for PDEs
Josh Dees, Antoine Jacquier, Sylvain Laizet
Classical Physics-informed neural networks (PINNs) approximate solutions to PDEs with the help of deep neural networks trained to satisfy the differential operator and the relevant…
physics.flu-dyn2023★ 2 cited
FR3D: Three-dimensional Flow Reconstruction and Force Estimation for Unsteady Flows Around Extruded Bluff Bodies via Conformal Mapping Aided Convolutional Autoencoders
Ali Girayhan Özbay, Sylvain Laizet
In many practical fluid dynamics experiments, measuring variables such as velocity and pressure is possible only at a limited number of sensor locations, \textcolor{black}{for a fe…