Royal Institute of Technology / Kungliga Tekniska Högskolan (KTH)
University / College
Location:
Stockholm,
Sweden (SE)
ISNI: 0000000121581746
ROR: https://ror.org/026vcq606
Novel definition of the synergistic effect between carbon nanotubes and carbon black for electrical conductivity (2019)
Qu M, Nilsson F, Schubert DW
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
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