Dataset Groups Activity Stream Non-linear case (124 RANS solutions) A database of airfoil aerodynamic simulations used to train a convolutional autoencoder to predict aerodynamic stall. BibTex: @dataset{Ettore_Saetta_and_Renato_Tognaccini_and_Gianluca_Iaccarino_2024, abstract = {A database of airfoil aerodynamic simulations used to train a convolutional autoencoder to predict aerodynamic stall.}, author = {Ettore Saetta and Renato Tognaccini and Gianluca Iaccarino}, doi = {10.57702/tjeuvq9f}, institution = {No Organization}, keyword = {'RANS', 'aerodynamics', 'airfoil', 'simulations'}, month = {dec}, publisher = {TIB}, title = {Non-linear case (124 RANS solutions)}, url = {https://service.tib.eu/ldmservice/dataset/non-linear-case--124-rans-solutions-}, year = {2024} }
