Prof. Dr. Philipp Schlatter

Lehrstuhl für Strömungsmechanik (LSTM)

OpenACC acceleration for the PN–PN-2 algorithm in Nek5000 (2019) Otero E, Gong J, Min M, Fischer P, Schlatter P, Laure E Journal article Distributed Percolation Analysis for Turbulent Flows (2019) Friederici A, Köpp W, Atzori M, Vinuesa R, Schlatter P, Weinkauf T Conference contribution Bypass transition delay using oscillations of spanwise wall velocity (2019) Negi PS, Mishra M, Schlatter P, Skote M Journal article The vanishing of strong turbulent fronts in bent pipes (2019) Rinaldi E, Canton J, Schlatter P Journal article Predictions of turbulent shear flows using deep neural networks (2019) Srinivasan PA, Guastoni L, Azizpour H, Schlatter P, Vinuesa R Journal article Transfer functions for flow predictions in wall-bounded turbulence (2019) Sasaki K, Vinuesa R, Cavalieri AVG, Schlatter P, Henningson DS Journal article Quantification of amplitude modulation in wall-bounded turbulence (2019) Dogan E, Orlu R, Gatti D, Vinuesa R, Schlatter P Journal article 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 On stability and transition in bent pipes (2019) Canton J, Örlü R, Schlatter P Book chapter / Article in edited volumes Towards adaptive mesh refinement for the spectral element solver Nek5000 (2019) Offermans N, Peplinski A, Marin O, Fischer PF, Schlatter P Book chapter / Article in edited volumes