most citedTowards Sustainable Architecture: 3D Convolutional Neural Networks for Computational Fluid Dynamics Simulation and Reverse DesignWorkflow

5 citations · 5 across the 1 of their papers we have counts for

collaborators

1 paper

cs.GR2019★ 5 cited

Towards Sustainable Architecture: 3D Convolutional Neural Networks for Computational Fluid Dynamics Simulation and Reverse DesignWorkflow

Josef Musil, Jakub Knir, Athanasios Vitsas +1

We present a general and flexible approximation model for near real-time prediction of steady turbulent flow in a 3D domain based on residual Convolutional Neural Networks (CNNs).…