2 papers
physics.flu-dyn2026
Data-driven identification of multiscale self-similarity and asymptotic matching
Kaixin Zhu, Nikos Bempedelis, Konstantinos Steiros
A central problem in fluid mechanics is the identification of self-similarity, which reveals the underlying scaling behaviour of a flow. Recently, a data-driven framework proposed…
physics.data-an2025
Extracting self-similarity from data
Nikos Bempedelis, Luca Magri, Konstantinos Steiros
Identifying self-similarity is key to understanding and modelling a plethora of phenomena in fluid mechanics. Unfortunately, this is not always possible to perform formally in high…