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相关论文: Modelling Polymerization-Induced Self Assembly (PI…

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Biomolecular condensates formed through the phase separation of proteins and nucleic acids are widely observed, offering a fundamental means of organizing intracellular materials in a membrane-less fashion. Traditionally, these condensates…

软凝聚态物质 · 物理学 2023-10-10 Guang Shi , Kenneth S. Schweizer

The industrial implementation of biofuel production from lignocellulosic biomass faces a number of economic obstacles. One of these is the cost of enzymes, typically used for cellulose hydrolysis. Nature provides some hints towards the…

软凝聚态物质 · 物理学 2021-11-02 O. Paiuk , A. Zaichenko , N. Mitina , J. Ilnytskyi , T. Patsahan , S. Minko , Kh. Harhay , V. Garamus , K. Volianiuk

The formation of (bio)molecular condensates via liquid-liquid phase separation in cells has received increasing attention, as these coacervates play important functional and regulatory roles within biological systems. However, the majority…

软凝聚态物质 · 物理学 2022-11-24 Arash Nikoubashman , Miho Yanagisawa

The pursuit of green methodologies for fabricating optoelectronic devices necessitates the adoption of self-assembly-based strategies to engineer efficient and sustainable platforms. Microbubble lithography (MBL) stands out as a directed…

应用物理 · 物理学 2025-06-12 Anand Dev Ranjan , Dhananjay Mahapatra , Partha Mitra , Ayan Banerjee

Self-propelled particles include both self-phoretic synthetic colloids and various micro-organisms. By continually consuming energy, they bypass the laws of equilibrium thermodynamics. These laws enforce the Boltzmann distribution in…

软凝聚态物质 · 物理学 2015-04-15 Michael E. Cates , Julien Tailleur

Motility-induced phase separation (MIPS) arises generically in fluids of self-propelled particles when interactions lead to a kinetic slowdown at high densities. Starting from a continuum description of scalar active matter, akin to a…

We investigate the mechanism of chain exchange in diblock copolymer micelles using two distinct yet complementary simulation techniques. First, enhanced sampling method is combined with coarse-grained molecular dynamics to compute a…

Using exact enumeration methods and Monte Carlo simulations we study the phase diagram relative to the conformational transitions of a two dimensional diblock copolymer. The polymer is made of two homogeneous strands of monomers of…

统计力学 · 物理学 2009-10-31 Marco Baiesi , Enrico Carlon , Enzo Orlandini , Attilio L. Stella

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

Plasticisers (PLs) are small additives commonly incorporated into polymer composites to enhance processability and improve mechanical properties. Their effectiveness depends heavily on their miscibility within the polymer melt, yet…

软凝聚态物质 · 物理学 2025-05-07 Lois Smith , Jessica Steele , Hossein Ali Karimi-Varzaneh , Paola Carbone

We propose a new mechanism to create self-assembled porous media with highly tunable geometrical properties and permeabilities: We first allow a particle-stabilized emulsion to form from a mixture of two fluids and colloidal particles.…

软凝聚态物质 · 物理学 2024-08-08 Stefan Frijters , Jens Harting

Active matter composed of self-propelled particles features fascinating self-organization phenomena, spanning from motility-induced phase separation to phototaxis to topological excitations depending on the nature and parameters of the…

While learning from demonstrations is powerful for acquiring visuomotor policies, high-performance imitation without large demonstration datasets remains challenging for tasks requiring precise, long-horizon manipulation. This paper…

机器人学 · 计算机科学 2024-11-12 Lars Ankile , Anthony Simeonov , Idan Shenfeld , Pulkit Agrawal

We study the diffusion of a linear polymer in the presence of permeable membranes without excluded volume interactions, using scaling theory and Monte Carlo simulations. We find that the average time it takes for a chain with polymerization…

凝聚态物理 · 物理学 2016-08-31 Hyoungsoo Yoon , J. M. Deutsch

We demonstrate a simple method by which time-dependent interactions can be exploited to improve self-assembly in colloidal systems. We apply this method to two systems: a model colloid with short-ranged attractive potentials that undergoes…

软凝聚态物质 · 物理学 2017-09-13 Christopher J. Fullerton , Robert L. Jack

We consider a model mixture of hard colloidal spheres and non-adsorbing polymer chains in a theta solvent. The polymer component is modelled as a polydisperse mixture of effective spheres, mutually noninteracting but excluded from the…

软凝聚态物质 · 物理学 2009-11-10 A. R. Denton , M. Schmidt

Many soft-matter and biophysical systems are composed of monomers which reversibly assemble into rod-like aggregates. The aggregates can then order into liquid-crystal phases if the density is high enough, and liquid-crystal ordering…

软凝聚态物质 · 物理学 2010-07-27 Tatiana Kuriabova , M. D. Betterton , Matthew A. Glaser

We extensively study the phase diagram of a diblock copolymer melt confined in a cylindrical nanopore using real-space self-consistent mean-field theory. We discover a rich variety of new two-dimensional equilibrium structures that have no…

软凝聚态物质 · 物理学 2009-11-11 Weihua Li , Robert A. Wickham

We investigate a set of design principles that link specific features of interparticle interactions to predictable structural and dynamic outcomes in two-dimensional self-assembly, a framework relevant to soft matter and biological…

软凝聚态物质 · 物理学 2026-01-06 Cecilia Bores , Antonio Diaz-Pozuelo , Enrique Lomba

We present fully atomistic Molecular Dynamics simulation results on a main-chain polymer, 1,4-Polybutadiene, in the merging region of the $\alpha$- and $beta$-relaxations. A real space analysis reveals the occurrence of localized motions…

软凝聚态物质 · 物理学 2015-06-25 Juan Colmenero , Arturo Narros , Fernando Alvarez , Arantxa Arbe , Angel J. Moreno