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The morphogenesis of cells and tissues involves an interplay between chemical signals and active forces on their surrounding surface layers. The complex interaction of hydrodynamics and material flows on such active surfaces leads to…

细胞行为 · 定量生物学 2023-06-30 Sebastian Aland , Claudia Wohlgemuth

The powerful molecular dynamics (MD) simulation is basically based on a picture that the atoms experience classical-like trajectories under the exertion of classical force field determined by the quantum mechanically solved electronic…

化学物理 · 物理学 2013-12-16 Wei Feng , Luting Xu , Xin-Qi Li , Weihai Fang

Based on Brownian dynamics simulations, we investigate the thermodynamic signatures of non-equilibrium steady states in a confined colloidal suspensions under shear flow. Specifically, we consider a thin film consisting of charged particles…

软凝聚态物质 · 物理学 2019-01-02 Sascha Gerloff , Sabine H. L. Klapp

Brownian dynamics of colloidal particles on complex surfaces has found important applications in diverse physical, chemical and biological processes. However, current Brownian dynamics simulation algorithms mostly work for relatively simple…

软凝聚态物质 · 物理学 2019-11-26 Yuguang Yang , Bo Li

Understanding the dynamics of phase boundaries in fluids requires quantitative knowledge about the microscale processes at the interface. We consider the sharp-interface motion of compressible two-component flow, and propose a heterogeneous…

数值分析 · 数学 2023-09-06 Jim Magiera , Christian Rohde

Accelerated coarse-graining (CG) algorithms for simulating heterogeneous chemical reactions on surface systems have recently gained much attention. In the present paper, we consider such an issue by investigating the oscillation behavior of…

统计力学 · 物理学 2011-04-18 Ting Rao , Zhen Zhang , Zhonghuai Hou , Houwen Xin

For particles confined to two dimensions, any curvature of the surface affects the structural, kinetic and thermodynamic properties of the system. If the curvature is non-uniform, an even richer range of behaviours can emerge. Using a…

软凝聚态物质 · 物理学 2020-08-10 Jack O. Law , Jacob M. Dean , Mark A. Miller , Halim Kusumaatmaja

${}^3$He beam spin-echo experiments have been used to study surface morphology, molecular and atomic surface diffusion, phonon dispersions, phason dispersions and phase transitions of ionic liquids. However, the interactions between…

原子物理 · 物理学 2020-06-04 Joshua T. Cantin , Gil Alexandrowicz , Roman V. Krems

Hybrid particle-field methods are computationally efficient approaches for modelling soft matter systems. So far applications of these methodologies have been limited to constant volume conditions. Here, we reformulate particle-field…

We propose a dynamical theory of low-temperature shear deformation in amorphous solids. Our analysis is based on molecular-dynamics simulations of a two-dimensional, two-component noncrystalline system. These numerical simulations reveal…

统计力学 · 物理学 2009-10-30 M. L. Falk , J. S. Langer

Grain growth (GG), driven by grain boundary (GB) migration, is a fundamental mechanism of microstructural evolution in polycrystalline materials. GB migration is frequently accompanied by a relative shear displacement of grains meeting at…

材料科学 · 物理学 2026-03-13 Caihao Qiu , David J. Srolovitz , Gregory S. Rohrer , Jian Han , Marco Salvalaglio

When the effects of relative motion at the solid object interfaces are not negligible, the contact method is required in the smoothed particle hydrodynamics (SPH) method to prevent virtual shear and tensile stresses. However, there is still…

流体动力学 · 物理学 2024-09-06 Wenbin Liu , Zhuoping Duan , Yan Liu , Fenglei Huang

We introduce a machine-learning-based coarse-grained molecular dynamics (CGMD) model that faithfully retains the many-body nature of the inter-molecular dissipative interactions. Unlike common empirical CG models, the present model is…

计算物理 · 物理学 2023-12-01 Liyao Lyu , Huan Lei

The dynamics of strongly interacting many-body quantum systems are notoriously complex and difficult to simulate. A new theory, generalized hydrodynamics (GHD), promises to efficiently accomplish such simulations for nearly-integrable…

量子气体 · 物理学 2021-09-09 Neel Malvania , Yicheng Zhang , Yuan Le , Jerome Dubail , Marcos Rigol , David S. Weiss

We present a multiscale hybrid particle-field scheme for the simulation of relaxation and diffusion behavior of soft condensed matter systems. It combines particle-based Brownian dynamics and field-based local dynamics in an adaptive sense…

软凝聚态物质 · 物理学 2017-09-06 Shuanhu Qi , Friederike Schmid

Reconstructing dynamic scenes with complex human-object interactions is a fundamental challenge in computer vision and graphics. Existing Gaussian Splatting methods either rely on human pose priors while neglecting dynamic objects, or…

计算机视觉与模式识别 · 计算机科学 2026-04-07 Taewoo Kim , Suwoong Yeom , Jaehyun Pyun , Geonho Cha , Dongyoon Wee , Joonsik Nam , Yun-Seong Jeong , Kyeongbo Kong , Suk-Ju Kang

In a recent paper, J. Chem. Phys. 162, 214101 (2025), a novel approach for the rigidification of a molecular cluster was proposed, in which starting with an all-atom (AA) potential, a coarse-grained (CG) potential for the associated cluster…

化学物理 · 物理学 2025-09-08 João V. M. Pimentel , Vladimir A. Mandelshtam

Elastic filaments are vital to biological, physical and engineering systems, from cilia driving fluid in the lungs to artificial swimmers and micro-robotics. Simulating slender structures requires intricate balance of elastic, body, active,…

生物物理 · 物理学 2023-06-02 Paul Fuchter , Hermes Bloomfield-Gadêlha

Direct comparison is made of the steady-sates and coarsening dynamics in a local system and its nonlocal generalization. The example system is the surface of a solid film in a strong electric field; the morphological evolution of the…

斑图形成与孤子 · 物理学 2015-02-24 Mikhail Khenner

We discuss the role coarse-grained models play in the investigation of the structure and thermodynamics of bilayer membranes, and we place them in the context of alternative approaches. Because they reduce the degrees of freedom and employ…

软凝聚态物质 · 物理学 2009-11-11 Marcus Mueller , Kirill Katsov , Michael Schick