Prof. Dr. Philipp Schlatter

Lehrstuhl für Strömungsmechanik (LSTM)

In situ visualization of large-scale turbulence simulations in Nek5000 with ParaView Catalyst (2022) Atzori M, Kopp W, Chien SWD, Massaro D, Mallor F, Peplinski A, Rezaei M, et al. Journal article Applying Bayesian optimization with Gaussian process regression to computational fluid dynamics problems (2022) Morita Y, Rezaeiravesh S, Tabatabaei N, Vinuesa R, Fukagata K, Schlatter P Journal article Strong Scaling of OpenACC enabled Nek5000 on several GPU based HPC systems (2022) Vincent J, Gong J, Karp M, Peplinski A, Jansson N, Podobas A, Jocksch A, et al. Conference contribution A High-Fidelity Flow Solver for Unstructured Meshes on Field-Programmable Gate Arrays: Design, Evaluation, and Future Challenges (2022) Karp M, Podobas A, Kenter T, Jansson N, Plessl C, Schlatter P, Markidis S Conference contribution DIRECT NUMERICAL SIMULATION OF TURBULENT FLOW AROUND 3D STEPPED CYLINDER WITH ADAPTIVE MESH REFINEMENT (2022) Massaro D, Peplinski A, Schlatter P Conference contribution ESTIMATING UNCERTAINTY OF LOW- AND HIGH-ORDER TURBULENCE STATISTICS IN WALL TURBULENCE (2022) Rezaeiravesh S, Xavier D, Vinuesa R, Yao J, Hussain F, Schlatter P Conference contribution WALL-MODELLED LES USING HIGH- AND LOW-ORDER CFD CODES: APPLICATION TO A FLAT-PLATE BOUNDARY LAYER (2022) Mukha T, Schlatter P Conference contribution A NEW POINT OF VIEW ON SKIN-FRICTION CONTRIBUTIONS IN ADVERSE-PRESSURE-GRADIENT TURBULENT BOUNDARY LAYERS (2022) Atzori M, Stroh A, Gatti D, Fukagata K, Vinuesa R, Schlatter P Conference contribution NON-INTRUSIVE SENSING IN TURBULENT BOUNDARY LAYERS VIA DEEP FULLY-CONVOLUTIONAL NEURAL NETWORKS (2022) Guastoni L, Balasubramanian AG, Güemes A, Ianiro A, Discetti S, Schlatter P, Azizpour H, Vinuesa R Conference contribution Understanding the Impact of Synchronous, Asynchronous, and Hybrid In-Situ Techniques in Computational Fluid Dynamics Applications (2022) Ju Y, Perez A, Markidis S, Schlatter P, Laure E Conference contribution