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Dynamique et rhéologie des fluides complexes (gels, polymères, mousses, colloïdes)
(43) Production(s) de l'année 2017
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Exploring the jamming transition over a wide range of critical densities
Auteur(s): Ozawa M., Berthier L., Coslovich D.
(Article) Publié:
Scipost Physics, vol. 3 p.027 (2017)
Texte intégral en Openaccess :
Ref HAL: hal-01685133_v1
Ref Arxiv: 1705.10156
DOI: 10.21468/SciPostPhys.3.4.027
WoS: WOS:000418511900002
Ref. & Cit.: NASA ADS
Exporter : BibTex | endNote
15 Citations
Résumé: We numerically study the jamming transition of frictionless polydisperse spheres in three dimensions. We use an efficient thermalisation algorithm for the equilibrium hard sphere fluid and generate amorphous jammed packings over a range of critical jamming densities that is about three times broader than in previous studies. This allows us to reexamine a wide range of structural properties characterizing the jamming transition. Both isostaticity and the critical behavior of the pair correlation function hold over the entire range of jamming densities. At intermediate length scales, we find a weak, smooth increase of bond orientational order. By contrast, distorted icosahedral structures grow rapidly with increasing the volume fraction in both fluid and jammed states. Surprisingly, at large scale we observe that denser jammed states show stronger deviations from hyperuniformity, suggesting that the enhanced amorphous ordering inherited from the equilibrium fluid competes with, rather than enhances, hyperuniformity. Finally, finite size fluctuations of the critical jamming density are considerably suppressed in the denser jammed states, indicating an important change in the topography of the potential energy landscape. By considerably stretching the amplitude of the critical "J-line", our work disentangles physical properties at the contact scale that are associated with jamming criticality, from those occurring at larger length scales, which have a different nature.
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How active forces influence nonequilibrium glass transitions
Auteur(s): Berthier L., Flenner Elijah, Szamel G.
(Article) Publié:
New Journal Of Physics, vol. 19 p.125006 (2017)
Texte intégral en Openaccess :
Ref HAL: hal-01667079_v1
Ref Arxiv: 1708.04259
DOI: 10.1088/1367-2630/aa914e
WoS: 000424893800001
Ref. & Cit.: NASA ADS
Exporter : BibTex | endNote
14 Citations
Résumé: Dense assemblies of self-propelled particles undergo a nonequilibrium form of glassy dynamics. Physical intuition suggests that increasing departure from equilibrium due to active forces fluidifies a glassy system. We falsify this belief by devising a model of self-propelled particles where increasing departure from equilibrium can both enhance or depress glassy dynamics, depending on the chosen state point. We analyze a number of static and dynamic observables and suggest that the location of the nonequilibrium glass transition is primarily controlled by the evolution of two-point static density correlations due to active forces. The dependence of the density correlations on the active forces varies non-trivially with the details of the system, and is difficult to predict theoretically. Our results emphasize the need to develop an accurate liquid state theory for nonequilibrium systems.
Commentaires: . Réf Journal: New J. Phys. 19, 125006 (2017)
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Granular materials flow like complex fluids
Auteur(s): Kou Binquan, Cao Yixin, Li Jindong, Xia Chengjie, Li Zhifeng, Dong Haipeng, Zhang Ang, Zhang Jie, Kob W., Wang Yujie
(Article) Publié:
Nature, vol. 551 p.360 (2017)
Texte intégral en Openaccess :
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Density controls the kinetic stability of ultrastable glasses
Auteur(s): Fullerton C., Berthier L.
(Article) Publié:
Europhysics Letters (Epl), vol. 119 p.36003 (2017)
Texte intégral en Openaccess :
Ref HAL: hal-01658154_v1
Ref Arxiv: 1706.10081
DOI: 10.1209/0295-5075/119/36003
WoS: 000415019400017
Ref. & Cit.: NASA ADS
Exporter : BibTex | endNote
14 Citations
Résumé: We use a swap Monte Carlo algorithm to numerically prepare bulk glasses with kinetic stability comparable to that of glass films produced experimentally by physical vapor deposition. By melting these systems into the liquid state, we show that some of our glasses retain their amorphous structures longer than 10^5 times the equilibrium structural relaxation time. This exceptional kinetic stability cannot be achieved experimentally for bulk materials. We perform simulations at both constant volume and constant pressure to demonstrate that the density mismatch between the ultrastable glass and the equilibrium liquid accounts for a major part of the observed kinetic stability.
Commentaires: 7 Pages, 6 Figures. Figures 4b) and 5b) updated, revisions to text to improve discussion, missing page numbers added to references, typos corrected. Réf Journal: EPL 119, 36003 (2017)
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Methods to locate saddle points in complex landscapes
Auteur(s): Bonfanti S., Kob W.
(Article) Publié:
The Journal Of Chemical Physics, vol. 147 p.204104 (2017)
Texte intégral en Openaccess :
Ref HAL: hal-01656760_v1
DOI: 10.1063/1.5012271
WoS: 000416842200006
Exporter : BibTex | endNote
4 Citations
Résumé: .We present a class of simple algorithms that allows to find the reaction path in systems with a complexpotential energy landscape. The approach does not need any knowledge on the product state and doesnot require the calculation of any second derivatives. The underlying idea is to use two nearby points inconfiguration space to locate the path of slowest ascent. By introducing a weak noise term, the algorithmis able to find even low-lying saddle points that are not reachable by means of a slowest ascent path. Sincethe algorithm makes only use of the value of the potential and its gradient, the computational effort to findsaddles is linear in the number of degrees of freedom, if the potential is short-ranged. We test the performanceof the algorithm for two potential energy landscapes. For the M¨uller-Brown surface we find that the algorithmalways finds the correct saddle point. For the modified M¨uller-Brown surface, which has a saddle point thatis not reachable by means of a slowest ascent path, the algorithm is still able to find this saddle point withhigh probability
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