Journal: Physical Review E
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Abbreviation
Phys. rev., E
Publisher
American Physical Society
533 results
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Publications1 - 10 of 533
- Coupling of long-wavelength density fluctuations to orientations in cellulose nanocrystal suspensions under external fieldsItem type: Journal Article
Physical Review EKang, Kyongok; Bertsch, Pascal; Fischer, Peter (2019)Motivated by the development of cellulose-based functional materials, we investigate the microscopic dynamics of suspensions of cellulose nanocrystals (CNCs) at different ionic strengths, both in the absence and in the presence of AC electric fields and for various temperatures. A concentration of 5 wt % of the CNCs is chosen for which the dispersions are in the full chiral-nematic state at low ionic strengths. Dynamic light scattering is used to characterize the wave vector-dependent decay rates of number-density fluctuations. Contrary to an isotropic suspension, the dispersion relations (the wave vector dependence of the correlation-function decay rates) as obtained by means of depolarized light scattering are found to exhibit anomalous behavior. The dispersion relations, both without and with an external field, exhibit minima at small wave vectors, which is attributed to coupling of translational motion to the orientation of the CNCs, shown in the chiral-nematic state. The location of the minima is found to weakly depend on ionic strength and shifts significantly towards larger wave vectors upon applying an external electric field for sufficiently high ionic strengths. Finally, preliminary results are presented for smaller length-scale density fluctuations (at larger wave vectors) as a function of temperature, revealing the anisotropic mobilities in the chiral-nematic state of CNCs. - Symmetries and phase diagrams with real-space mutual information neural estimationItem type: Journal Article
Physical Review EGökmen, Doruk Efe; Ringel, Zohar; Huber, Sebastian; et al. (2021)Real-space mutual information (RSMI) was shown to be an important quantity, formally and from a numerical standpoint, in finding coarse-grained descriptions of physical systems. It very generally quantifies spatial correlations and can give rise to constructive algorithms extracting relevant degrees of freedom. Efficient and reliable estimation or maximization of RSMI is, however, numerically challenging. A recent breakthrough in theoretical machine learning has been the introduction of variational lower bounds for mutual information, parametrized by neural networks. Here we describe in detail how these results can be combined with differentiable coarse-graining operations to develop a single unsupervised neural-network-based algorithm, the RSMI-NE, efficiently extracting the relevant degrees of freedom in the form of the operators of effective field theories, directly from real-space configurations. We study the information contained in the statistical ensemble of constructed coarse-graining transformations and its recovery from partial input data using a secondary machine learning analysis applied to this ensemble. In particular, we show how symmetries, also emergent, can be identified. We demonstrate the extraction of the phase diagram and the order parameters for equilibrium systems and consider also an example of a nonequilibrium problem. - Small-angle neutron scattering study of structure and kinetics of temperature-induced protein gelationItem type: Journal Article
Physical Review EChodankar, S.; Aswal, V.K.; Kohlbrecher, J.; et al. (2009) - Density profiles of loose and collapsed cohesive granular structures generated by ballistic depositionItem type: Journal Article
Physical Review EKadau, Dirk; Herrmann, Hans Jürgen (2011) - Writhe and mutual entanglement combine to give the entanglement lengthItem type: Journal Article
Physical Review EPanagiotou, E.; Kröger, Martin; Millett, K.C. (2013) - Modeling energy storage and structural evolution during finite viscoplastic deformation of glassy polymersItem type: Journal Article
Physical Review EXiao, Rui; Ghazaryan, Gagik; Tervoort, Theo A.; et al. (2017) - Effect of curvature on the diffusion of colloidal bananasItem type: Journal Article
Physical Review EUlbrich, Justin-Aurel; Fernández Rico, Carla; Rost, Brian; et al. (2023)Anisotropic colloidal particles exhibit complex dynamics which play a crucial role in their functionality, transport, and phase behavior. In this Letter, we investigate the two-dimensional diffusion of smoothly curved colloidal rods - also known as colloidal bananas - as a function of their opening angle α. We measure the translational and rotational diffusion coefficients of the particles with opening angles ranging from 0∘ (straight rods) to nearly 360∘(closed rings). In particular, we find that the anisotropic diffusion of the particles varies nonmonotonically with their opening angle and that the axis of fastest diffusion switches from the long to the short axis of the particles when α>180∘. We also find that the rotational diffusion coefficient of nearly closed rings is approximately an order of magnitude higher than that of straight rods of the same length. Finally, we show that the experimental results are consistent with slender body theory, indicating that the dynamical behavior of the particles arises primarily from their local drag anisotropy. These results highlight the impact of curvature on the Brownian motion of elongated colloidal particles, which must be taken into account when seeking to understand the behavior of curved colloidal particles. - Rational hybrid Monte Carlo with block solvers and multiple pseudofermionsItem type: Journal Article
Physical Review Ede Forcrand, Philippe; Keegan, Liam (2018) - Irreversible dynamics, Onsager-Casimir symmetry, and an application to turbulenceItem type: Journal Article
Physical Review EÖttinger, Hans Christian (2014) - Effect of particle polydispersity on the irreversible adsorption of fine particles on patterned substratesItem type: Journal Article
Physical Review EMarques, J.F.; Lima, A.B.; Araújo, N.A.M.; et al. (2012)
Publications1 - 10 of 533