Publication List of the MPIDS

Journal Article (1553)

  1. 1.
    Yang, Y.; Verzicco, R.; Lohse, D.: Two-scalar turbulent Rayleigh-Benard convection: Numerical simulations and unifyingtheory. Journal of Fluid Mechanics 848, pp. 648 - 659 (2018)
  2. 2.
    Sun, D.; Wang, Y.; Yu, H.; Han, Q.: A lattice Boltzmann study on dendritic growth of a binary alloy in the presence of melt convection. International Journal of Heat and Mass Transfer 123, pp. 213 - 226 (2018)
  3. 3.
    Lalescu, C. C.; Wilczek, M.: Acceleration statistics of tracer particles in filtered turbulent fields. Journal of Fluid Mechanics 847, R2 (2018)
  4. 4.
    Katz, E.; Stoler, O.; Scheller, A.; Khrapunsky, Y.; Goebbels, S.; Kirchhoff, F.; Gutnick, M. J.; Wolf, F.; Fleidervish, I. A.: Role of sodium channel subtype in action potential generation by neocortical pyramidal neurons. Proceedings of the National Academy of Sciences of the United States of America (2018)
  5. 5.
    Verschoof, R. A.; te Nijenhuis, A. K.; Huisman, S. G.; Sun, C.; Lohse, D.: Periodically driven Taylor-Couette turbulence. Journal of Fluid Mechanics 846, pp. 834 - 845 (2018)
  6. 6.
    Clay, M. P.; Buaria, D.; Yeung, P. K.; Gotoh, T.: GPU acceleration of a petascale application for turbulent mixing at high Schmidt number using OpenMP 4.5. Computer Physics Communications 228, pp. 100 - 114 (2018)
  7. 7.
    Lukassen, L.; Stevens, R. J. A. M.; Meneveau, C.; Wilczek, M.: Modeling space-time correlations of velocity fluctuations in wind farms. Wind Energy 21 (7), pp. 474 - 487 (2018)
  8. 8.
    Wolter, J.; Lünsmann, B.; Zhang, X.; Schröder, M.; Timme, M.: Quantifying transient spreading dynamics on networks. Chaos 28 (6), 063122 (2018)
  9. 9.
    James, M.; Bos, W. J. T.; Wilczek, M.: Turbulence and turbulent pattern formation in a minimal model for active fluids. Physical Review Fluids (2018)
  10. 10.
    Schwarzendahl, F. J.; Mazza, M. G.: Maximum in density heterogeneities of active swimmers. Soft Matter 14 (23), pp. 4666 - 4678 (2018)
  11. 11.
    Schröder, M.; Nagler, J.; Timme, M.; Witthaut, D.: Hysteretic percolation from locally optimal individual decisions. Physical Review Letters 120 (24), 248302 (2018)
  12. 12.
    Wilting, J.; Priesemann, V.: Inferring collective dynamical states from widely unobserved systems. Nature Communications (2018)
  13. 13.
    Haeberle, J.; Schella, A.; Sperl, M.; Schröter, M.; Born, P.: Double origin of stochastic granular tribocharging. Soft Matter (2018)
  14. 14.
    Li, Y.; Lv, P.; Diddens, C.; Tan, H.; Wijshoff, H.; Versluis, M.; Lohse, D.: Evaporation-triggered segregation of sessile binary droplets. Physical Review Letters (2018)
  15. 15.
    Priesemann, V.; Shriki, O.: Can a time varying external drive give rise to apparent criticality in neural systems? PLoS Computational Biology 14 (5), e1006081 (2018)
  16. 16.
    Alim, K.: Fluid flows shaping organism morphology. Philosophical Transactions of the Royal Society of London B: Biological Sciences 373 (1747), 20170112 (2018)
  17. 17.
    Schlemmer, A.; Berg, S.; Lilienkamp, T.; Luther, S.; Parlitz, U.: Spatiotemporal permutation entropy as a measure for complexity of cardiac arrhythmia. Frontiers in Physics (2018)
  18. 18.
    Schäfer, B.; Witthaut, D.; Timme, M.; Latora, V.: Dynamically induced cascading failures in power grids. Nature Communications (2018)
  19. 19.
    Escobar, J. M. E.; Dietrich, E.; Arscott, S.; Zandvliet, H. J. W.; Zhang, X.; Lohse, D.: Zipping-depinning: Dissolution of droplets on micropatterned concentric rings. Langmuir 34 (19), pp. 5396 - 5402 (2018)
  20. 20.
    Schwille, P.; Spatz, J.; Landfester, K.; Bodenschatz, E.; Herminghaus, S.; Sourjik, V.; Erb, T.; Bastiaens, P.; Lipowsky, R.; Hyman, A. et al.; Dabrock, P.; Baret, J. P.; Vidakovic-Koch, T.; Bieling, P.; Dimova, R.; Mutschler, H.; Robinson, T.; Tang, D.; Wegner, S.; Sundmacher, K.: MaxSynBio - Avenues towards creating cells from the bottom up. Angewandte Chemie International Edition (2018)
 
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