2019
DOI: 10.1103/physreve.99.022601
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Dynamic ordering of driven spherocylinders in a nonequilibrium suspension of small colloidal spheres

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Cited by 8 publications
(5 citation statements)
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“…Relating the behavior of memory kernels in Molecular Dynamics (Jung and Schmid, 2016;Jung et al, 2017;Lesnicki et al, 2016) is worthwhile. Identifying the superadiabatic force contributions in driven mixtures of spheres and spherocylinders could be revealing for the observed ordering phenomena in this system (Lüders et al, 2019). Applying power functional theory to the task of classifying new states of active matter (Menzel, 2016) is an exciting perspective.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Relating the behavior of memory kernels in Molecular Dynamics (Jung and Schmid, 2016;Jung et al, 2017;Lesnicki et al, 2016) is worthwhile. Identifying the superadiabatic force contributions in driven mixtures of spheres and spherocylinders could be revealing for the observed ordering phenomena in this system (Lüders et al, 2019). Applying power functional theory to the task of classifying new states of active matter (Menzel, 2016) is an exciting perspective.…”
Section: Discussionmentioning
confidence: 99%
“…The behaviour of patchy colloids has been addressed using DFT (de las Heras et al, 2011), as well as complex capillary phase behaviour in model liquid crystals (de las Heras et al, 2005). DFT is applied to complex problems such as nucleation of crystals and polymorphic behaviour (Lutsko and Lam, 2018). FMT has been formulated for lattice models by Lafuente and Cuesta (2004); see e.g.…”
Section: B Timeline Of Density Functional Theorymentioning
confidence: 99%
“…For inorganic materials, sedimentation resulting from the mesogen density In summary, fundamental colloidal theories and simulation methods are very beneficial for gaining insights into the phase behavior of nanocylinder-nanoparticle systems. However, even for relatively ideal systems such as fd virus and polystyrene nanoparticles, the experimental phase diagrams can be even richer than those predicted from simulations [9,103,105,[107][108][109][110]. The complexities of shape disperse mesogens are further complicated by length polydispersity and attractive interactions.…”
Section: Nanocylinders and Nanoparticles (1d-0d)mentioning
confidence: 97%
“…The moving walls are realised by two soft walls similar to the ones in an earlier publication. 27 They move closer to each other with a constant velocity v. During the simulations, the walls are moved in every discrete simulation step after the interaction forces are calculated. In detail, the particle interactions are handled first.…”
Section: Brownian Dynamics Algorithmmentioning
confidence: 99%
“…Examples of the effects observed are single file diffusion, 26 especially in the high density regime, and an influence of the confining walls on the orientational degrees of freedom. 27 By employing a variation of the Brownian dynamics algorithm which was already successfully utilised to model spherocylinders 28,29 and three-dimensional dumbbells, 30 it is possible to foster the understanding of the structure of dumbbell monolayers in direct comparison with experiments.…”
Section: Introductionmentioning
confidence: 99%