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Spinodal demixing of systems into two phases having very different viscosities leads to viscoelastic networks, i.e. gels. Here we consider demixing in a colloidal system where one phase is a nematic liquid crystal with a strongly…

软凝聚态物质 · 物理学 2018-06-19 Claudia Ferreiro-Córdova , C. Patrick Royall , Jeroen S. van Duijneveldt

The structural complexity of soft gels is at the origin of a versatile mechanical response that allows for large deformations, controlled elastic recovery and toughness in the same material. A limit to exploiting the potential of such…

软凝聚态物质 · 物理学 2017-10-06 Mehdi Bouzid , Emanuela Del Gado

Attractive colloids diffuse and aggregate to form gels, solid-like particle networks suspended in a fluid. Gravity is known to strongly impact the stability of gels once they are formed. However, its effect on the process of gel formation…

软凝聚态物质 · 物理学 2023-04-12 Joost de Graaf , Kim William Torre , Wilson C. K. Poon , Michiel Hermes

Colloidal gels are out of equilibrium soft solids composed of attractive Brownian particles that form a space-spanning network at low volume fractions. The elastic properties of these systems result from the network microstructure, which is…

Colloidal gels are formed through the aggregation of attractive particles, whose size ranges from 10~nm to a few micrometers, suspended in a liquid. Such gels are ubiquitous in everyday life applications, from food products to paints or…

软凝聚态物质 · 物理学 2020-11-16 Thomas Gibaud , Thibaut Divoux , Sébastien Manneville

The elasticity of disordered and polydisperse polymer networks is a fundamental problem of soft matter physics that is still open. Here, we self-assemble polymer networks via simulations of a mixture of bivalent and tri- or tetravalent…

Natural and synthetic multi-component gels display emergent properties, which implies that they are more than just the sum of their components. This warrants the investigation of the role played by inter-species interactions in shaping gel…

软凝聚态物质 · 物理学 2024-11-15 Mauro L Mugnai , Rose Tchuenkam Batoum , Emanuela Del Gado

Liquid water, besides being fundamental for life on Earth, has long fascinated scientists due to several anomalies. Different hypotheses have been put forward to explain these peculiarities. The most accredited one foresees the presence in…

数值分析 · 数学 2022-10-26 Michele Benzi , Isabella Daidone , Chiara Faccio , Laura Zanetti-Polzi

A mixture of hard-sphere particles and model emulsion droplets is studied with a Brownian dynamics simulation. We find that the addition of nonwetting emulsion droplets to a suspension of pure hard spheres can lead to both gas-liquid and…

软凝聚态物质 · 物理学 2015-03-13 Andrea Fortini

By means of Langevin dynamics simulations, we investigate the gel formation of randomly functionalized polymers in solution, with the ability to form both intra- and intermolecular reversible bonds. Under highly dilute conditions, these…

软凝聚态物质 · 物理学 2021-09-15 Maud Formanek , Lorenzo Rovigatti , Emanuela Zaccarelli , Francesco Sciortino , Angel J. Moreno

Protein-stabilised emulsion gels can be studied in the theoretical framework of colloidal gels, because both protein assemblies and droplets may be considered as soft colloids. These particles differ in their nature, size and softness, and…

软凝聚态物质 · 物理学 2020-07-10 Marion Roullet , Paul S. Clegg , William J. Frith

Colloidal gels are a prototypical example of a heterogeneous network solid whose complex properties are governed by thermally-activated dynamics. In this Letter we experimentally establish the connection between the intermittent dynamics of…

软凝聚态物质 · 物理学 2017-05-10 Jan Maarten van Doorn , Jochem Bronkhorst , Ruben Higler , Ties van de Laar , Joris Sprakel

Using the theory of elasticity of polymer gels we show that large-scale cross-link density patterns written into the structure of the network in the melt state, can be revealed upon swelling by monitoring the monomer density patterns. We…

软凝聚态物质 · 物理学 2016-02-17 Sergey Panyukov , Yitzhak Rabin

Graph neural networks can accurately predict the chemical properties of many molecular systems, but their suitability for large, macromolecular assemblies such as gels is unknown. Here, graph neural networks were trained and optimised for…

计算物理 · 物理学 2025-04-14 D. A. Head

We present a detailed numerical study of multi-component colloidal gels interacting sterically and obtained by arrested phase separation. Under deformation, we found that the interplay between the different intertwined networks is key.…

软凝聚态物质 · 物理学 2020-06-11 Claudia Ferreiro-Cordova , Mehdi Bouzid , Emanuela Del Gado , Giuseppe Foffi

Colloidal gels have strong industrial relevance as they can behave liquid- and solid-like. The latter allows them to support the buoyant weight against gravity. However, the system is intrinsically out-of-equilibrium, which means that the…

软凝聚态物质 · 物理学 2024-05-28 Kim William Torre , Joost de Graaf

Phase separation within polymer networks plays a central role in shaping the structure and mechanics of both synthetic materials and living cells, including the formation of biomolecular condensates within cytoskeletal networks. Previous…

软凝聚态物质 · 物理学 2025-12-01 Takahiro Yokoyama , Yicheng Qiang , David Zwicker , Arash Nikoubashman

Colloid-polymer mixtures may undergo either fluid-fluid phase separation or gelation. This depends on the depth of the quench (polymer concentration) and polymer-colloid size ratio. We present a real-space study of dynamics in phase…

软凝聚态物质 · 物理学 2012-09-19 Isla Zhang , C. Patrick Royall , Paul Bartlett , Malcolm A. Faers

We use molecular dynamics computer simulations to investigate the relaxation dynamics of a simple model for a colloidal gel at a low volume fraction. We find that due to the presence of the open spanning network this dynamics shows at low…

软凝聚态物质 · 物理学 2015-06-25 E. Del Gado , W. Kob

Multicomponent gel systems have garnered much interest due to their compelling mechanical properties in the past decade. Yet, some mechanisms associated with multicomponent gels, such as sequential gelation, have been explored primarily in…

软凝聚态物质 · 物理学 2026-03-31 Alexander Kaltashov , Safa Jamali