Confined Fluids: Structure, Properties and Phase Behavior

Mansoori, G. Ali; Rice, Stuart A.

doi:10.1002/9781118949702.ch5

Cited by 30 publications

(33 citation statements)

References 157 publications

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“…Theoretically, the bi-layer ice was previously simulated with molecular dynamics within confinement. 30,31,46 It shows almost similar ring distribution and structure compared to 2D-silica. However, the layer symmetry of bi-layer ice is not as good as in 2D-silica.…”

Section: Discussionmentioning

confidence: 94%

Modelling the atomic arrangement of amorphous 2D silica: a network analysis

Roy¹,

Heyde

Heuer

2018

Phys. Chem. Chem. Phys.

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The recent experimental discovery of a semi two-dimensional silica glass has offered a realistic description of the random network theory of a silica glass structure, initially discussed by Zachariasen. To study the structure formation of silica in two dimensions, we introduce a two-body force field, based on a soft core Yukawa potential. The different configurations, sampled via Molecular dynamics simulations, can be directly compared with the experimental structures, which have been provided in the literature. The parameters of the force field are obtained from comparison of the nearest-neighbor distances between experiment and simulation. Further key properties such as angle distributions, distribution of ring sizes and triplets of rings are analyzed and compared with the experiment. Of particular interest is the spatial correlation of ring sizes. In general, we observe a very good agreement between experiment and simulation. Additional insight from the simulations is provided about the temporal and spatial stability of the rings in dependence of their size.

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Section: Discussionmentioning

confidence: 94%

Modelling the atomic arrangement of amorphous 2D silica: a network analysis

Roy¹,

Heyde

Heuer

2018

Phys. Chem. Chem. Phys.

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“…A variety of exciting prospects for future research can be envisioned. Examples include the critical dynamics of confined colloids across a (zero-temperature) second-order phase transition (16), under inhomogeneous driving (17,18,19), and in the presence of quenched disorder (20).…”

Section: Fig 1: Schematic Dynamics Through a Continuous Phase Transimentioning

confidence: 99%

Colloidal test bed for universal dynamics of phase transitions

Campo

2015

Proc. Natl. Acad. Sci. U.S.A.

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Early insight on the critical dynamics of phase transitions arose in a cosmological setting in an effort to understand the origin of structure formation in the early Universe. Kibble pointed out that in a spontaneous symmetry breaking scenario, when a system is driven across a phase transition from a high-symmetry phase to a topologically nontrivial vacuum manifold, causally disconnected regions of the system choose independently the broken symmetry (1,2). These conflicting choices result in the formation of topological defects, such as domain walls in a ferromagnet and vortices in a superfluid, to name a couple of familiar examples. Soon after, Zurek indicated that signatures of universality in the dynamics of a phase transition could be tested in condensed matter systems, e.g., superfluid Helium (3,4). Further, he improved the estimate for the average size of the domains and predicted a universal power law for the density of topological defects as a function of the rate at which the phase transition is crossed. The combination of these ideas is known as the Kibble-Zurek mechanism (KZM) and has been a lively subject of both theoretical and experimental research during the last decades. The abundant attempts to verify the KZM in the laboratory have however faced a variety of shortcomings and while different aspects of the mechanism have been confirmed, a definite test is still missing (5). A remarkable step forward is reported in this issue by Deutschländer et al., who used colloidal monolayers as a test bed for universal critical dyamics with unprecedented accuracy (6).

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“…Let the melting point of the gallium droplets be 254 K (-19.15 o C) [23]. The size of the particle is determined by the following formula [24]:…”

Section: Discussionmentioning

confidence: 99%