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Physics-driven Learning of the Steady Navier-Stokes Equations using Deep Convolutional Neural Networks
Free accessArXiv | 2021| -
Incomplete to complete multiphysics forecasting -- a hybrid approach for learning unknown phenomena
Free accessArXiv | 2021| -
Method and apparatus for modeling smoke turbulence based on patch
Free accessEuropean Patent Office | 2019| -
METHOD AND APPARATUS FOR MODELING SMOKE TURBULENCE BASED ON PATCH
Free accessEuropean Patent Office | 2017| -
Realistic galaxy images and improved robustness in machine learning tasks from generative modelling
Free accessArXiv | 2022| -
Deep Learning Methods for Simulation of Liquids ; Deep Learning Methoden für die Simulation von Flüssigkeiten
Free accessBASE | 2023|Contributors: Thuerey, Nils (Prof. Dr.), Thuerey, Nils (Prof. Dr.);Bender, Jan (Prof. Dr.) -
Predicting Urban-Scale Wind Simulations : Artificial Intelligence for Simulation Engineering in Urban Planning
Free accessTIBKAT | 2023|Contributors: Thuerey, Nils -
Physics field prediction using convolutional neural networks
Free accessTIBKAT | 2022|Contributors: Thuerey, Nils
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