Swedish e-Science Research Centre (SeRC)

Industry / private company


Location: Stockholm, Sweden (SE) SE

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Types of publications

Journal article
Book chapter / Article in edited volumes
Authored book
Translation
Thesis
Edited Volume
Conference contribution
Other publication type
Unpublished / Preprint

Publication year

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To

Abstract

Journal

Fully convolutional networks for velocity-field predictions based on the wall heat flux in turbulent boundary layers (2025) Guastoni L, Balasubramanian AG, Foroozan F, Güemes A, Ianiro A, Discetti S, Schlatter P, et al. Journal article Predicting the wall-shear stress and wall pressure through convolutional neural networks (2023) Balasubramanian AG, Guastoni L, Schlatter P, Azizpour H, Vinuesa R Journal article Convolutional-network models to predict wall-bounded turbulence from wall quantities (2021) Guastoni L, Guemes A, Ianiro A, Discetti S, Schlatter P, Azizpour H, Vinuesa R Journal article Recurrent neural networks and Koopman-based frameworks for temporal predictions in a low-order model of turbulence (2021) Eivazi H, Guastoni L, Schlatter P, Azizpour H, Vinuesa R Journal article Prediction of wall-bounded turbulence from wall quantities using convolutional neural networks (2020) Guastoni L, Encinar MP, Schlatter P, Azizpour H, Vinuesa R Conference contribution Effects of Different Friction Control Techniques on Turbulence Developing Around Wings (2020) Atzori M, Vinuesa R, Gatti D, Stroh A, Frohnapfel B, Schlatter P Book chapter / Article in edited volumes The effect of lossy data compression in computational fluid dynamics applications: Resilience and data postprocessing (2019) Otero E, Vinuesa R, Schlatter P, Marin O, Siegel A, Laure E Book chapter / Article in edited volumes Stability tools for the spectral-element code Nek5000: Application to Jet-in-Crossflow (2014) Peplinski A, Schlatter P, Fischer PF, Henningson DS Conference contribution