Welcome to the Deep Learning for Instant CFD Predictions repository. This project collects methods and models to leverage the power of deep geometric for rapid and accurate predictions for Computational Fluid Dynamics (CFD) simulations.
By integrating Deep Convolutional Network and Geometric Deep Learning, our models aims to significantly reduce the computational time required for CFD analysis, making it accessible for real-time applications. Dive in to explore the code, datasets, and get started!
This work has been conducted within the framework of the NEXTAIR project, funded by the European Union under the GA number 101056732.
