中文
相关论文

相关论文: The Franzese-Stanley Coarse Grained Model for Hydr…

200 篇论文

The necessity for accurate and computationally efficient representations of water in atomistic simulations that can span biologically relevant timescales has born the necessity of coarse-grained (CG) modeling. Despite numerous advances, CG…

计算物理 · 物理学 2018-10-11 Julija Zavadlav , Georgios Arampatzis , Petros Koumoutsakos

The first paper of this series [J. Chem. Phys. 158, 034103 (2023)] demonstrated that excess entropy scaling holds for both fine-grained and corresponding coarse-grained (CG) systems. Despite its universality, a more exact determination of…

化学物理 · 物理学 2023-01-18 Jaehyeok Jin , Kenneth S. Schweizer , Gregory A. Voth

Water's unique anomalies are vital in various applications and biological processes, yet the molecular mechanisms behind these anomalies remain debated, particularly in the metastable liquid phase under supercooling and stretching…

统计力学 · 物理学 2024-05-17 Luis Enrique Coronas , Giancarlo Franzese

Coarse-grained (CG) models facilitate an efficient exploration of complex systems by reducing the unnecessary degrees of freedom of the fine-grained (FG) system while recapitulating major structural correlations. Unlike structural…

化学物理 · 物理学 2023-01-18 Jaehyeok Jin , Kenneth S. Schweizer , Gregory A. Voth

Using coarse grained models we investigate the behavior of water adjacent to an extended hydrophobic surface peppered with various fractions of hydrophilic patches of different sizes. We study the spatial dependence of the mean interface…

统计力学 · 物理学 2014-09-09 Adam P. Willard , David Chandler

Molecular dynamics simulations are used to examine the relationship between water-like anomalies and the liquid-liquid critical point in a family of model fluids with multi-Gaussian, core-softened pair interactions. The core-softened pair…

软凝聚态物质 · 物理学 2015-05-27 Evy Salcedo , Alan B. de Oliveira , Ney M. Barraz , Charusita Chakravarty , Marcia C. Barbosa

A microscopic model able to describe simultaneously the dynamic viscosity and the self-diffusion coefficient of fluids is presented. This model is shown to emerge from the introduction of fractional calculus in a usual model of condensed…

统计力学 · 物理学 2021-11-24 F. Aitken , F. Volino

Complex fluids exhibit structure on a wide range of length and time scales, and hierarchical approaches are necessary to investigate all facets of their often unusual properties. The study of idealized coarse-grained models at different…

软凝聚态物质 · 物理学 2008-10-23 Friederike Schmid

Integral equation theory is applied to a coarse-grained model of water to study potential of mean force between hydrophobic solutes. Theory is shown to be in good agreement with the available simulation data for methane-methane and…

软凝聚态物质 · 物理学 2015-05-28 S. A. Egorov

Coarse-grained (CG) modeling has gained significant attention in recent years due to its wide applicability in enhancing the spatiotemporal scales of molecular simulations. While CG simulations, often performed with Hamiltonian mechanics,…

化学物理 · 物理学 2025-04-01 Jaehyeok Jin , Gregory A. Voth

We present a dual-resolution molecular dynamics (MD) simulation of liquid water employing a recently introduced Adaptive Resolution Scheme (AdResS). The spatially adaptive molecular resolution procedure allows for changing from a…

软凝聚态物质 · 物理学 2011-11-10 Silvina Matysiak , Cecilia Clementi , Matej Praprotnik , Kurt Kremer , Luigi Delle Site

Among the numerous anomalies of water, the acceleration of dynamics under pressure is particularly puzzling. Whereas the diffusivity anomaly observed in experiments has been reproduced in several computer studies, the parallel viscosity…

A coarse-grained water model is developed using multistate iterative Boltzmann inversion. Following previous work, the k-means algorithm is used to dynamically map multiple water molecules to a single coarse-grained bead, allowing the use…

化学物理 · 物理学 2015-09-29 Timothy C. Moore , Christopher R. Iacovella , Clare McCabe

Water and silicon are chemically dissimilar substances with common physical properties. Their liquids display a temperature of maximum density, increased diffusivity on compression, they form tetrahedral crystals and tetrahedral amorphous…

软凝聚态物质 · 物理学 2008-09-18 Valeria Molinero , Emily B. Moore

Many-body interactions can play a relevant role in water properties. Here we study by Monte Carlo simulations a coarse-grained model for bulk water that includes many-body interactions associated to water cooperativity. The model is…

统计力学 · 物理学 2016-10-04 Luis Enrique Coronas , Valentino Bianco , Arne Zantop , Giancarlo Franzese

Modelling micro- and meso-scopic scale thermodynamic and transport properties of soft condensed matter hinges upon its representation. This is especially relevant for polar solvents such as water, since these require effective…

软凝聚态物质 · 物理学 2026-04-17 Michael A. Seaton , Benjamin T. Speake , Ilian T. Todorov

We use molecular dynamics simulations in two dimensions to investigate the possibility that a core-softened potential can reproduce static and dynamic anomalies found experimentally in liquid water: (i) the increase in specific volume upon…

软凝聚态物质 · 物理学 2009-10-31 A. Scala , M. Reza Sadr-Lahijany , N. Giovambattista , S. V. Buldyrev , H. E. Stanley

Several hydrodynamic models the atomic Bose-Einstein condensate beyond the mean-field approximation are discussed together from one point of view. All these models are derived from microscopic quantum description. The derivation is made…

量子气体 · 物理学 2021-05-05 Pavel A. Andreev

The physical behavior of glass-forming liquids presents complex features of both dynamic and thermodynamic nature. Some studies indicate the presence of thermodynamic anomalies and of crossovers in the dynamic properties, but their origin…

统计力学 · 物理学 2018-06-08 Daniele Coslovich , Misaki Ozawa , Walter Kob

Soft condensed matter structures often challenge us with complex many-body phenomena governed by collective modes spanning wide spatial and temporal domains. In order to successfully tackle such problems mesoscopic coarse-grained (CG)…

软凝聚态物质 · 物理学 2023-07-12 Vlad P Sokhan , Michael A Seaton , Ilian T Todorov
‹ 上一页 1 2 3 10 下一页 ›