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相关论文: Facile equilibration of well-entangled semiflexibl…

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We present a computationally efficient multiscale method for preparing equilibrated, isotropic long chain model polymer melts. As an application we generate Kremer-Grest melts of $1000$ chains with $200$ entanglements and $25000$-$2000$…

软凝聚态物质 · 物理学 2023-02-15 Carsten Svaneborg , Ralf Everaers

Effective and fast convergence toward an equilibrium state for long-chain polymer melts is realized by a hybrid method coupling molecular dynamics and the elastic continuum. The required simulation time to achieve the equilibrium state is…

材料科学 · 物理学 2012-10-23 Yasuhiro Senda , Miyuki Fujio , Shuji Shimamura , Janne Blomqvist , Risto M Nieminen

We present an effective and simple multiscale method for equilibrating Kremer Grest model polymer melts of varying stiffness. In our approach, we progressively equilibrate the melt structure above the tube scale, inside the tube and finally…

软凝聚态物质 · 物理学 2016-09-21 Carsten Svaneborg , Hossein Ali Karimi-Varzaneh , Nils Hojdis , Frank Fleck , Ralf Everaers

Equilibration of polymer melts containing highly entangled long polymer chains in confinement or with free surfaces is a challenge for computer simulations. We approach this problem by first studying polymer melts based on the soft-sphere…

软凝聚态物质 · 物理学 2020-10-14 Hsiao-Ping Hsu , Kurt Kremer

We present a computer simulation of entangled polymer solutions at equilibrium. The chains repel each other via a soft Gaussian potential, appropriate for semi-dilute solutions at the scale of a correlation blob. The key innovation to…

计算物理 · 物理学 2017-01-10 Airidas Korolkovas , Philipp Gutfreund , Jean-Louis Barrat

The Kremer-Grest (KG) model is a standard for studying generic polymer properties. Here we have equilibrated KG melts up to and beyond $200$ entanglements per chain for varying chain stiffness. We present methods for estimating the Kuhn…

软凝聚态物质 · 物理学 2020-03-16 Carsten Svaneborg , Ralf Everaers

We present an extensive set of simulation results for the stress relaxation in equilibrium and step-strained bead-spring polymer melts. The data allow us to explore the chain dynamics and the shear relaxation modulus, $G(t)$, into the…

软凝聚态物质 · 物理学 2015-05-18 Ji Xuan Hou , Carsten Svaneborg , Ralf Everaers , Gary S. Grest

The crystallisation of entangled polymers from their melt is investigated using computer simulation with a coarse-grained model. Using hybrid Monte Carlo simulations enables us to probe the behaviour of long polymer chains. We identify…

软凝聚态物质 · 物理学 2020-06-12 Xiaoliang Tang , Fucheng Tian , Tingyu Xu , Liangbin Li , Aleks Reinhardt

Several methods for preparing well equilibrated melts of long chains polymers are studied. We show that the standard method in which one starts with an ensemble of chains with the correct end-to-end distance arranged randomly in the…

软凝聚态物质 · 物理学 2009-11-10 Rolf Auhl , Ralf Everaers , Gary S. Grest , Kurt Kremer , Steven J. Plimpton

We visualize entanglements in polymer melts using molecular dynamics simulation. A bead at an entanglement interacts persistently for long times with the non-bonded beads (those excluding the adjacent ones in the same chain). The…

软凝聚态物质 · 物理学 2009-11-10 Ryoichi Yamamoto , Akira Onuki

A mesoscopic, mixed particle- and field-based Brownian dynamics methodology for the simulation of entangled polymer melts has been developed. Polymeric beads consist of several Kuhn segments, and their motion is dictated by the Helmholtz…

软凝聚态物质 · 物理学 2017-03-28 Georgios G. Vogiatzis , Grigorios Megariotis , Doros N. Theodorou

The dynamics of polymer melts at the crossover between unentagled and entangled regimes is formalized here through an extension of the Cooperative Dynamics Generalized Langevin Equation (CDGLE) (\textit{J. Chem. Phys.} 110,7574 (1999)), by…

软凝聚态物质 · 物理学 2024-12-19 M. G. Guenza

A hierarchical (triple scale) simulation methodology is presented for the prediction of the dynamical and rheological properties of high molecular weight entangled polymer melts. The methodology consists of atomistic, moderately…

We propose an efficient Monte Carlo algorithm for the off-lattice simulation of dense hard sphere polymer melts using cluster moves, called event chains, which allow for a rejection-free treatment of the excluded volume. Event chains also…

软凝聚态物质 · 物理学 2015-09-24 Tobias Alexander Kampmann , Horst-Holger Boltz , Jan Kierfeld

We model the flow behaviour of dense melts of flexible and semiflexible ring polymers in the presence of walls using a hybrid multiscale approach. Specifically, we perform molecular dynamics simulations and apply the Irving-Kirkwood formula…

Semiflexible macromolecules in dilute solution under very good solvent conditions are modeled by self-avoiding walks on the simple cubic lattice ($d=3$ dimensions) and square lattice ($d=2$ dimensions), varying chain stiffness by an energy…

软凝聚态物质 · 物理学 2015-05-30 Hsiao-Ping Hsu , Kurt Binder

The dynamical response of a tethered semiflexible polymer with self-attractive interactions and subjected to an external force field is numerically investigated by varying stiffness and self-interaction strength. The chain is confined in…

软凝聚态物质 · 物理学 2022-11-09 A. Lamura

Using a recently developed bead-spring model for semiflexible polymers that takes into account their natural extensibility, we report an efficient algorithm to simulate the dynamics for polymers like double-stranded DNA (dsDNA) in the…

软凝聚态物质 · 物理学 2015-10-01 Debabrata Panja , Gerard T. Barkema , J. M. J. van Leeuwen

Obtaining a rigorous and reliable method for linking computer simulations of polymer blends and composites at different length scales of interest is a highly desirable goal in soft matter physics. In this paper a multiscale modeling…

软凝聚态物质 · 物理学 2015-05-19 J. McCarty , M. G. Guenza

The interplay of nematic order and phase separation in solutions of semiflexible polymers in solvents of variable quality is investigated by density functional theory (DFT) and molecular dynamics (MD) simulations. We studied coarse-grained…

软凝聚态物质 · 物理学 2019-09-04 Jiarul Midya , Sergei A. Egorov , Kurt Binder , Arash Nikoubashman
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