Learning to Fly Green
Paola Cinnella –– Professor of Fluid Mechanics at Sorbonne University –– will be interviewed by Professor Matej Praprotnik –– the Head of the Laboratory for Molecular Modeling at the Slovenian National Institute of Chemistry –– on how High-Performance Computing and Machine Learning can be harnessed to fly green. We are excited to embark on this journey together with Paola and Matej towards a more sustainable future for our global society.
Advances in high-performance computing (HPC) enable the simulation of complex, multiscale flow phenomena relevant to aerospace with unprecedented accuracy, generating vast high-fidelity datasets. In parallel, scientific machine learning (SML) is rapidly transforming the physical sciences. When combined, SML and HPC promise a step change in predictive capabilities and computational efficiency for CFD, with potential impact on decarbonizing aviation and other carbon-intensive sectors. Yet, key challenges remain: selecting informative training data, generalizing to out-of-distribution conditions, and quantifying predictive uncertainty. In this talk, Paola will explore how the synergy between HPC and SML can be harnessed to accelerate sustainable aviation, and highlight current bottlenecks and research directions toward trustworthy, scalable ML-enhanced CFD.
Additional information can be found here.