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@ARTICLE{Lettinga:893816,
      author       = {Lettinga, M. Paul and Alvarez, Laura and Korculanin,
                      Olivera and Grelet, Eric},
      title        = {{W}hen bigger is faster: {A} self-{V}an {H}ove analysis of
                      the enhanced self-diffusion of non-commensurate guest
                      particles in smectics},
      journal      = {The journal of chemical physics},
      volume       = {154},
      number       = {20},
      issn         = {1089-7690},
      address      = {Melville, NY},
      publisher    = {American Institute of Physics},
      reportid     = {FZJ-2021-02855},
      pages        = {204901 -},
      year         = {2021},
      abstract     = {We investigate the anomalous dynamics in smectic phases of
                      short host rods where, counter-intuitively, long guest
                      rod-shaped particles diffuse faster than the short host ones
                      due to their precise size mismatch. In addition to the
                      previously reported mean-square displacement, we analyze the
                      time evolution of the self-Van Hove functions G(r, t), as
                      this probability density function uncovers intrinsic
                      heterogeneous dynamics. Through this analysis, we show that
                      the dynamics of the host particles parallel to the director
                      becomes non-Gaussian and therefore heterogeneous after the
                      nematic-to-smectic-A phase transition, even though it
                      exhibits a nearly diffusive behavior according to its
                      mean-squared displacement. In contrast, the non-commensurate
                      guest particles display Gaussian dynamics of the parallel
                      motion, up to the transition to the smectic-B phase. Thus,
                      we show that the self-Van Hove function is a very sensitive
                      probe to account for the instantaneous and heterogeneous
                      dynamics of our system and should be more widely considered
                      as a quantitative and complementary approach of the
                      classical mean-squared displacement characterization in
                      diffusion processes.I. INTRODUCTION},
      cin          = {IBI-4},
      ddc          = {530},
      cid          = {I:(DE-Juel1)IBI-4-20200312},
      pnm          = {5243 - Information Processing in Distributed Systems
                      (POF4-524)},
      pid          = {G:(DE-HGF)POF4-5243},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {34241175},
      UT           = {WOS:000653338400001},
      doi          = {10.1063/5.0049093},
      url          = {https://juser.fz-juelich.de/record/893816},
}