000907960 001__ 907960
000907960 005__ 20220624190305.0
000907960 037__ $$aFZJ-2022-02302
000907960 041__ $$aEnglish
000907960 1001_ $$0P:(DE-Juel1)165875$$aTan, Zihan$$b0$$eCorresponding author$$ufzj
000907960 1112_ $$aAPS March Meeting 2022$$cChicago/Online$$d2022-03-14 - 2022-03-18$$wUSA
000907960 245__ $$aQuasi-two-dimensional clustering of Brownian particles with competitive interactions: Phase diagram, structures, and dynamics
000907960 260__ $$c2022
000907960 3367_ $$033$$2EndNote$$aConference Paper
000907960 3367_ $$2DataCite$$aOther
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000907960 3367_ $$0PUB:(DE-HGF)6$$2PUB:(DE-HGF)$$aConference Presentation$$bconf$$mconf$$s1656058929_21492$$xAfter Call
000907960 520__ $$aThree-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].
000907960 536__ $$0G:(DE-HGF)POF4-5244$$a5244 - Information Processing in Neuronal Networks (POF4-524)$$cPOF4-524$$fPOF IV$$x0
000907960 65027 $$0V:(DE-MLZ)SciArea-210$$2V:(DE-HGF)$$aSoft Condensed Matter$$x0
000907960 7001_ $$0P:(DE-Juel1)130616$$aDhont, Jan K.G.$$b1$$ufzj
000907960 7001_ $$0P:(DE-Juel1)130858$$aNaegele, Gerhard$$b2$$ufzj
000907960 909CO $$ooai:juser.fz-juelich.de:907960$$pVDB
000907960 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)165875$$aForschungszentrum Jülich$$b0$$kFZJ
000907960 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)130616$$aForschungszentrum Jülich$$b1$$kFZJ
000907960 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)130858$$aForschungszentrum Jülich$$b2$$kFZJ
000907960 9131_ $$0G:(DE-HGF)POF4-524$$1G:(DE-HGF)POF4-520$$2G:(DE-HGF)POF4-500$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$9G:(DE-HGF)POF4-5244$$aDE-HGF$$bKey Technologies$$lNatural, Artificial and Cognitive Information Processing$$vMolecular and Cellular Information Processing$$x0
000907960 9141_ $$y2022
000907960 9201_ $$0I:(DE-Juel1)IBI-4-20200312$$kIBI-4$$lBiomakromolekulare Systeme und Prozesse$$x0
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