Royal Institute of Technology / Kungliga Tekniska Högskolan (KTH)
University / College
Location:
Stockholm,
Sweden (SE)
ISNI: 0000000121581746
ROR: https://ror.org/026vcq606
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
Application of clinical and molecular profiling data to improve patient outcomes in psoriatic arthritis (2023)
Fitzgerald O, Behrens F, Barton A, Bertheusen H, Boutouyrie-Dumont B, Coates L, Davies O, et al.
Journal article, Review article
Coherent structures in the turbulent stepped cylinder flow at ReD=5000 (2023)
Massaro D, Peplinski A, Schlatter P
Journal article
Making applications faster by asynchronous execution: Slowing down processes or relaxing MPI collectives (2023)
Afzal A, Hager G, Markidis S, Wellein G
Journal article
A new perspective on skin-friction contributions in adverse-pressure-gradient turbulent boundary layers (2023)
Atzori M, Mallor F, Pozuelo R, Fukagata K, Vinuesa R, Schlatter P
Journal article
Efficient prediction of turbulent flow quantities using a Bayesian hierarchical multifidelity model (2023)
Rezaeiravesh S, Mukha T, Schlatter P
Journal article
Separating large-scale superposition and modulation in turbulent channels (2023)
Andreolli A, Gatti D, Vinuesa R, Örlü R, Schlatter P
Journal article
Higher-order dynamic mode decomposition on-the-fly: A low-order algorithm for complex fluid flows (2023)
Amor C, Schlatter P, Vinuesa R, Le Clainche S
Journal article
Direct numerical simulations of turbulent pipe flow up to (2023)
Yao J, Rezaeiravesh S, Schlatter P, Hussain F
Journal article
The Liver Tumor Segmentation Benchmark (LiTS) (2023)
Bilic P, Christ P, Li HB, Vorontsov E, Ben-Cohen A, Kaissis G, Szeskin A, et al.
Journal article