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cs.LG2025
FoilDiff: A Hybrid Transformer Backbone for Diffusion-based Modelling of 2D Airfoil Flow Fields
Kenechukwu Ogbuagu, Sepehr Maleki, Giuseppe Bruni +1
The accurate prediction of flow fields around airfoils is crucial for aerodynamic design and optimisation. Computational Fluid Dynamics (CFD) models are effective but computational…
cs.LG2025
Deep learning modelling of manufacturing and build variations on multi-stage axial compressors aerodynamics
Giuseppe Bruni, Sepehr Maleki, Senthil K. Krishnababu
Applications of deep learning to physical simulations such as Computational Fluid Dynamics have recently experienced a surge in interest, and their viability has been demonstrated…
cs.LG2024
C(NN)FD -- a deep learning framework for turbomachinery CFD analysis
Giuseppe Bruni, Sepehr Maleki, Senthil K. Krishnababu
Deep Learning methods have seen a wide range of successful applications across different industries. Up until now, applications to physical simulations such as CFD (Computational F…