Royal Institute of Technology / Kungliga Tekniska Högskolan (KTH)

University / College


Location: Stockholm, Sweden (SE) SE

ISNI: 0000000121581746

ROR: https://ror.org/026vcq606

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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 Universal and anisotropic simulation platform for the study of electrical properties of conductive polymer composites (2019) Yang G, Nilsson F, Schubert DW Journal article, Review article Quantification and discovery of sequence determinants of protein-per-mRNA amount in 29 human tissues (2019) Eraslan B, Wang D, Gusic M, Prokisch H, Hallstrom BM, Uhlen M, Asplund A, et al. Journal article A deep proteome and transcriptome abundance atlas of 29 healthy human tissues (2019) Wang D, Eraslan B, Wieland T, Hallstrom B, Hopf T, Zolg DP, Zecha J, et al. Journal article Universal and anisotropic simulation platform for the study of electrical proberties of conductive polymer composites (2019) Yang G, Nilsson F, Schubert DW Journal article, Review article Evaluation of the influence of crosslink density and penetrant size on the diffusion properties of silicone oils into silicone elastomers (2019) Daenicke J, Schubert DW, Hedenqvist M, Linde E, Sigl T, Horch RE Journal article, Review 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