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We show existence and uniqueness of strong solutions to a Navier-Stokes/Cahn-Hilliard type system on a given two-dimensional evolving surface in the case of different densities and a singular (logarithmic) potential. The system describes a…

偏微分方程分析 · 数学 2024-08-15 Helmut Abels , Harald Garcke , Andrea Poiatti

This Article presents a nonequilibrium thermodynamic theory for the mean-field precipitation, aggregation and pattern formation of colloidal clusters. A variable gradient energy coefficient and the arrest of particle diffusion upon…

软凝聚态物质 · 物理学 2018-10-17 Thomas Petersen , Martin Z. Bazant , Roland J. M. Pellenq , Franz-Josef Ulm

Numerous experimental data on the rapid solidification of binary systems exhibit the formation of metastable solid phases with the initial (nominal) chemical composition. This fact is explained by complete solute trapping leading to…

材料科学 · 物理学 2009-11-13 Peter Galenko

We study the evolution of entanglement entropy in a 2-dimensional equilibration process that has a holographic description in terms of a Vaidya geometry. It models a unitary evolution in which the field theory starts in a pure state, its…

高能物理 - 理论 · 物理学 2010-12-06 Javier Abajo-Arrastia , Joao Aparicio , Esperanza Lopez

Pattern formation is a ubiquitous phenomenon observed in nonlinear and out-of-equilibrium systems. In equilibrium, quantum ferrofluids formed from ultracold atoms were recently shown to spontaneously develop coherent density patterns,…

We numerically study the dynamic behavior under a symmetric shear flow of selected examples of concentrated phase emulsions with multi-core morphology confined within a microfluidic channel. A variety of new nonequilibrium steady states is…

软凝聚态物质 · 物理学 2020-12-07 A. Tiribocchi , A. Montessori , F. Bonaccorso , M. Lauricella , S. Succi

We demonstrate that the three-phase Cahn-Hilliard-Navier-Stokes (CHNS3) system provides a natural theoretical framework for studying liquid-lens coalescence, which has been investigated in recent experiments. Our extensive direct numerical…

流体动力学 · 物理学 2023-10-18 Nadia Bihari Padhan , Rahul Pandit

Liquid droplets sliding along solid surfaces are a frequently observed phenomenon in nature, e.g., raindrops on a leaf, and in everyday situations, e.g., drops of water in a drinking glass. To model this situation, we use a phase field…

计算物理 · 物理学 2019-10-23 Henning Bonart , Christian Kahle , Jens-Uwe Repke

We propose a new class of phase field models coupled to viscoelasticity with large deformations, obtained from a diffuse interface mixture model composed by a phase with elastic properties and a liquid phase. The model is formulated in the…

偏微分方程分析 · 数学 2022-04-12 Abramo Agosti , Pierluigi Colli , Harald Garcke , Elisabetta Rocca

We study the nonlinear evolution of the magnetic Rayleigh-Taylor instability using three-dimensional MHD simulations. We consider the idealized case of two inviscid, perfectly conducting fluids of constant density separated by a contact…

天体物理学 · 物理学 2009-11-13 James M. Stone , Thomas A. Gardiner

A multidimensional model of biofilm growth present in the supernatant water of a Slow Sand Filter is derived. The multiphase model, consisting of solid and liquid phases, is written as a convection-reaction system with a Cahn-Hilliard-type…

数值分析 · 数学 2025-04-08 Julio Careaga , Stefan Diehl , Jaime Manríquez

The mechanisms of void growth and coalescence are key contributors to the ductile failure of crystalline materials. At the grain scale, single crystal plastic anisotropy induces large strain localization leading to complex shape evolutions.…

材料科学 · 物理学 2025-10-20 Jalal Smiri , Joseph Paux , Oguz Umut Salman , Ioan R. Ionescu

We investigate the topological properties of dynamical states evolving on periodic oriented graphs. This evolution, that encodes the scattering processes occurring at the nodes of the graph, is described by a single-step global operator, in…

介观与纳米尺度物理 · 物理学 2017-05-24 Pierre Delplace , Michel Fruchart , Clément Tauber

A machine learning method to predict steady external fluid flows using elliptic input features is introduced. Using data from as few as one high-fidelity simulation, the proposed method produces models generalizable under changes to…

流体动力学 · 物理学 2025-01-28 Kazuko W. Fuchi , Eric M. Wolf , David S. Makhija , Christopher R. Schrock , Philip S. Beran

Consistency models imitate the multi-step sampling of score-based diffusion in a single forward pass of a neural network. They can be learned in two ways: consistency distillation and consistency training. The former relies on the true…

We have made pressure and NMR measurements during the evolution of phase separation in solid helium isotopic mixtures. Our observations indicate clearly all three stages of the homogeneous nucleation - growth process: 1) creation of…

其他凝聚态物理 · 物理学 2009-11-13 M. Poole , J. Saunders , B. Cowan

Employing a long-wave mesoscopic hydrodynamic model for the film height evolution we study ensembles of pinned and sliding drops of a volatile liquid that continuously condense onto a chemically heterogeneous inclined substrate. Our…

流体动力学 · 物理学 2019-11-05 Sebastian Engelnkemper , Uwe Thiele

We investigate the Kelvin-Helmholtz instability occuring at the interface of a shear flow configuration in 2D compressible magnetohydrodynamics (MHD). The linear growth and the subsequent non-linear saturation of the instability are studied…

天体物理学 · 物理学 2009-10-31 R. Keppens , G. Toth , R. H. J. Westermann , J. P. Goedbloed

Mass-conserving reaction-diffusion (MCRD) systems are widely used to model phase separation and pattern formation in cell polarity, biomolecular condensates, and ecological systems. Numerical simulations and formal asymptotic analysis…

偏微分方程分析 · 数学 2026-02-09 Xiaoqing He , Quan-Xing Liu , Dong Ye

Consistency distillation methods have demonstrated significant success in accelerating generative tasks of diffusion models. However, since previous consistency distillation methods use simple and straightforward strategies in selecting…

计算机视觉与模式识别 · 计算机科学 2024-09-04 Cunzheng Wang , Ziyuan Guo , Yuxuan Duan , Huaxia Li , Nemo Chen , Xu Tang , Yao Hu