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@INPROCEEDINGS{Tan:907960,
      author       = {Tan, Zihan and Dhont, Jan K.G. and Naegele, Gerhard},
      title        = {{Q}uasi-two-dimensional clustering of {B}rownian particles
                      with competitive interactions: {P}hase diagram, structures,
                      and dynamics},
      reportid     = {FZJ-2022-02302},
      year         = {2022},
      abstract     = {Three-dimensional (3D) bulk dispersions of Brownian
                      particles with competitive short-range attractive (SA) and
                      long-range repulsive (LR) interactions show rich phase
                      behavior, and peculiar diffusion and rheological properties.
                      In comparison, little is known about quasi-two-dimensional
                      (Q2D) SALR dispersions of particles confined to a liquid
                      interface or membrane, despite their biological relevance.
                      For instance, the antagonistic interplay of SA forces (due,
                      e.g., to lipid-mediated depletion, wetting) and LR forces
                      (induced, e.g., by mechanical deformations or membrane
                      fluctuations) in membrane proteins is crucial for forming
                      protein clusters. These clusters, in turn, are pivotal in
                      signal transduction and protein processing. We present
                      mesoscale simulation results on the phase behavior, cluster
                      structures, and dynamics of planar monolayers of SALR
                      Brownian particles embedded in a bulk fluid. Salient
                      differences and similarities between Q2D and 3D SALR
                      particles are highlighted[1]. Insights on the dynamics of
                      clusters are gained from analyzing mean-squared
                      displacements, cluster correlation and hexagonal order
                      correlation functions, and intermediate scattering
                      functions. Furthermore, we discuss the effects of
                      hydrodynamic interactions on dynamic clustering[2].},
      month         = {Mar},
      date          = {2022-03-14},
      organization  = {APS March Meeting 2022, Chicago/Online
                       (USA), 14 Mar 2022 - 18 Mar 2022},
      subtyp        = {After Call},
      cin          = {IBI-4},
      cid          = {I:(DE-Juel1)IBI-4-20200312},
      pnm          = {5244 - Information Processing in Neuronal Networks
                      (POF4-524)},
      pid          = {G:(DE-HGF)POF4-5244},
      typ          = {PUB:(DE-HGF)6},
      url          = {https://juser.fz-juelich.de/record/907960},
}