Data for thesis 'Predicting aerodynamics with hierarchical geometric deep learning: the GCN-MM-AE framework'

This dataset contains all the results obtained for the various results chapters of the PhD thesis, particularly Chapters 4 to 8.
These results were then used to generate the various results figures illustrated in the thesis. The multiple results files are classified according to the various folders.
As reported in the thesis, results were obtained either with SU2 CFD solver for the reference (ground-truth) and the implemented python/pytorch library developed during the research.
Feel free to contact the author if further information is required.

Dataset is available 'on request' only to bone fide researchers. Please complete the attached request form and we will seek approval for the request from the author.