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physics.flu-dyn2022★ 69 cited
Learned Turbulence Modelling with Differentiable Fluid Solvers: Physics-based Loss-functions and Optimisation Horizons
Björn List, Li-Wei Chen, Nils Thuerey
In this paper, we train turbulence models based on convolutional neural networks. These learned turbulence models improve under-resolved low resolution solutions to the incompressi…
cs.LG2022
Learning Similarity Metrics for Volumetric Simulations with Multiscale CNNs
Georg Kohl, Li-Wei Chen, Nils Thuerey
Simulations that produce three-dimensional data are ubiquitous in science, ranging from fluid flows to plasma physics. We propose a similarity model based on entropy, which allows…