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06 June 2022 11:00 - 13:00
Add Deep Learning Approaches for Applied Sciences and Engineering I Minisymposium organized by M. Giselle Fernández-Godino, Charles F. Jekel and Christian Gogu |
Room: Jan Mayen 3 MS117A Chair: M. Giselle Fernandez-Godino CoChair: Charles F. Jekel |
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Simulation of reacting flows using artificial neural networks: application to multi-regime combustion
Cédric Mehl and Damien Aubagnac-Karkar Neural network-based filtered drag model for cohesive gas-particle flows Josef Tausendschön, Stefan Radl and Sankaran Sundaresan Using conservation laws to infer deep learning model accuracy of Richtmyer-Meshkov instabilities Charles F. Jekel, Dane M. Sterbentz, Sylvie Aubry, Youngsoo Choi, Daniel A. White and Jonathan L. Belof Deep Convolutional Autoencoders for Predicting Wind-Driven Spatial Patterns M. Giselle Fernández-Godino, Donald D. Lucas and Qingkai Kong Approximating the full-field temperature evolution in 3D electronic systems from randomized “Minecraft” systems Monika Stipsitz and Helios Sanchis-Alepuz |
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