中文
相关论文

相关论文: Non-affine displacements in flexible polymer netwo…

200 篇论文

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

Attractive colloidal gels exhibit solid-like behavior at vanishingly small fractions of solids, owing to ramified space-spanning networks that form due to particle-particle interactions. These networks give the gel its rigidity, and as the…

Understanding the particle-scale transition from elastic deformation to plastic flow is central to making predictions about the bulk material properties and response of disordered materials. To address this issue, we perform experiments on…

软凝聚态物质 · 物理学 2016-08-24 Carlos P. Ortiz , Robert Riehn , Karen E. Daniels

We numerically examine the nonlinear rubber elasticity of topologically constrained polymer networks. We propose a simple and effective model based on Graessley and Pearson's topological model (GP model) for describing the topological…

软凝聚态物质 · 物理学 2015-03-19 Naomi Hirayama , Kyoichi Tsurusaki

Statistical mechanics is an important tool for understanding polymer electroelasticity because the elasticity of polymers is primarily due to entropy. However, a common approach for the statistical mechanics of polymer chains, the Gaussian…

软凝聚态物质 · 物理学 2021-04-28 Matthew Grasinger , Carmel Majidi , Kaushik Dayal

Disordered biopolymer gels have striking mechanical properties including strong nonlinearities. In the case of athermal gels (such as collagen-I) the nonlinearity has long been associated with a crossover from a bending dominated to a…

软凝聚态物质 · 物理学 2016-04-12 Jingchen Feng , Herbert Levine , Xiaoming Mao , Leonard M. Sander

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

Motivated by recent experiments showing that stiff biopolymer gels exhibit highly unusual negative normal elastic stresses, we develop a computational model for stiff polymer networks subject to large strains. In all cases, we find that…

软凝聚态物质 · 物理学 2009-11-13 Enrico Conti , F. C. MacKintosh

Polydisperse fibre networks are the basis of many natural and man-made architectures, ranging from high-performance bio-based materials to components of living cells and tissues. The formation and persistence of such networks are given by…

软凝聚态物质 · 物理学 2019-03-28 Christophe Brouzet , Nitesh Mittal , Fredrik Lundell , Daniel Söderberg

When a flexible polymer is sucked into a localized small hole, the chain can initially respond only locally and the sequential nonequilibrium processes follow in line with the propagation of the tensile force along the chain backbone. We…

软凝聚态物质 · 物理学 2009-11-13 Takahiro Sakaue

We introduced silica nanoparticles into poly ($N$,$N$-dimethylacrylamide) gel, (PDAM-NC gel), and poly (acrylamide) gel (PAM-NC gel), and carried out SAXS measurements under uniaxial elongation. It is well known that PDAM chains are…

软凝聚态物质 · 物理学 2016-01-05 Kengo Nishi , Mitsuhiro Shibayama

Polymer stretching in random smooth flows is investigated within the framework of the FENE dumbbell model. The advecting flow is Gaussian and short-correlated in time. The stationary probability density function of polymer extension is…

混沌动力学 · 物理学 2007-05-23 M. Martins Afonso , D. Vincenzi

Ring polymers are an intriguing class of polymers with unique physical properties, and understanding their behavior is important for developing accurate theoretical models. In this study, we investigate the effect of chain stiffness and…

软凝聚态物质 · 物理学 2023-08-24 Shota Goto , Kang Kim , Nobuyuki Matubayasi

A sheet of glassy polymers placed in a solvent shows swelling behaviors quite different from that of soft polymers (rubbers and gels). (1) Non-Fickian diffusion (called case II diffusion): As solvent permeates into the sample, a sharp front…

软凝聚态物质 · 物理学 2024-05-27 Peihan Lyu , Zhaoyu Ding , Masao Doi , Xingkun Man

Polymer gels behave as soft viscoelastic solids and exhibit a generic nonlinear mechanical response characterized by pronounced stiffening prior to irreversible failure, most often through macroscopic fractures. Here, we aim at capturing…

软凝聚态物质 · 物理学 2020-08-10 Bavand Keshavarz , Thibaut Divoux , Sébastien Manneville , Gareth H. McKinley

We compare six elastic models for polymer networks in the context of phase separation within a gel, including a new model that combines the finite extensible Arruda-Boyce model and the slip tube model for entangled chains. We study…

软凝聚态物质 · 物理学 2025-10-08 Shichen Wang , Peter D. Olmsted

Developing a deep understanding of macroscopic mechanical properties of amorphous systems which lack structural periodicity, has posed a key challenge, not only at the level of theory but also in molecular simulations. Despite significant…

软凝聚态物质 · 物理学 2025-06-06 Vinay Vaibhav , Timothy W. Sirk , Alessio Zaccone

We study networks of coupled bistable elastic elements, recently proposed as a model for crumpled thin sheets. The networks are poised on the verge of a localized instability, and the model allows unique access to both local and global…

软凝聚态物质 · 物理学 2024-08-16 Dor Shohat , Yoav Lahini , Daniel Hexner

Nanoscale polymeric thin films are widely used in diverse applications such as energy devices, flexible electronics and biosensors, where a satisfactory mechanical performance is of vital importance to realize their full functionality. It…

软凝聚态物质 · 物理学 2022-06-29 Zhengyang Zhang , Pei Bai , Yuhan Xiao , Yunlong Guo , Yanming Wang

A widespread approach to characterise the aggregated flexibility of active distribution networks (ADNs) is to estimate the boundary of the feasible network operating areas using convex polygons in the P-Q space. However, such approximations…

系统与控制 · 电气工程与系统科学 2022-09-09 Andrey Churkin , Pierluigi Mancarella , Eduardo A. Martinez Cesena