Search results for "Excluded volume"

showing 10 items of 33 documents

Liquid Crystal Phases in Suspensions of Charged Plate-Like Particles

2012

International audience; Anisotropic interactions in colloidal suspensions have recently emerged as a route for the design of new soft materials. Nonisotropic particles can form nematic, smectic, hexatic, and columnar liquid crystals. Although the formation of these phases is well rationalized when excluded volume is solely at play, the role of electrostatic interactions still remains unclear and even less so when particles present a charge heterogeneity, for example, clays. Here, we use Monte Carlo simulations of concentrated suspensions of charged disk-like particles to reveal the role of Coulomb interactions and charge anisotropy underlying liquid crystal formation and structures. We obse…

02 engineering and technology010402 general chemistry01 natural sciencesLiquid crystalCoulombGeneral Materials Scienceliquid crystalPhysical and Theoretical ChemistryAnisotropyMonte Carlo simulationcharged discotic particlesPhysics021001 nanoscience & nanotechnologyElectrostaticsGlasses Colloids Polymers and Soft Matter0104 chemical sciencesCondensed Matter::Soft Condensed Matter[ PHYS.PHYS.PHYS-CHEM-PH ] Physics [physics]/Physics [physics]/Chemical Physics [physics.chem-ph]Crystallographycolumnar phaseChemical physicsVolume fractionExcluded volumeParticle[PHYS.PHYS.PHYS-CHEM-PH]Physics [physics]/Physics [physics]/Chemical Physics [physics.chem-ph]0210 nano-technologyColumnar phaseThe Journal of Physical Chemistry Letters
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Transfer Free Energies of Test Proteins Into Crowded Protein Solutions Have Simple Dependence on Crowder Concentration

2019

The effects of macromolecular crowding on the thermodynamic properties of test proteins are determined by the latter's transfer free energies from a dilute solution to a crowded solution. The transfer free energies in turn are determined by effective protein-crowder interactions. When these interactions are modeled at the all-atom level, the transfer free energies may defy simple predictions. Here we investigated the dependence of the transfer free energy (Δμ) on crowder concentration. We represented both the test protein and the crowder proteins atomistically, and used a general interaction potential consisting of hard-core repulsion, non-polar attraction, and solvent-screened electrostati…

0301 basic medicineWork (thermodynamics)macromolecular crowdingThermodynamicsBiochemistry Genetics and Molecular Biology (miscellaneous)Biochemistrytransfer free energy03 medical and health sciences0302 clinical medicinecrowder concentrationMolecular Bioscienceslcsh:QH301-705.5Molecular BiologyOriginal ResearchPhysicsComponent (thermodynamics)Electrostatics030104 developmental biologylcsh:Biology (General)Virial coefficient030220 oncology & carcinogenesisExcluded volumeexcluded-volumeVirial expansionProtein foldingMacromolecular crowdingsoft attractionFrontiers in Molecular Biosciences
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Single chain structure in thin polymer films: Corrections to Flory's and Silberberg's hypotheses

2005

Conformational properties of polymer melts confined between two hard structureless walls are investigated by Monte Carlo simulation of the bond-fluctuation model. Parallel and perpendicular components of chain extension, bond-bond correlation function and structure factor are computed and compared with recent theoretical approaches attempting to go beyond Flory's and Silberberg's hypotheses. We demonstrate that for ultrathin films where the thickness, $H$, is smaller than the excluded volume screening length (blob size), $\xi$, the chain size parallel to the walls diverges logarithmically, $R^2/2N \approx b^2 + c \log(N)$ with $c \sim 1/H$. The corresponding bond-bond correlation function d…

FOS: Physical sciences02 engineering and technologyCondensed Matter - Soft Condensed MatterPlateau (mathematics)01 natural sciencesPower lawOmega0103 physical sciencesGeneral Materials Science61.25.Hq 67.70.+n010306 general physicspolymersMonte Carlo simulationPhysicsCondensed matter physicsForm factor (quantum field theory)021001 nanoscience & nanotechnologyCondensed Matter PhysicsCorrelation function (statistical mechanics)thin films[PHYS.COND.CM-GEN]Physics [physics]/Condensed Matter [cond-mat]/Other [cond-mat.other]Excluded volumeExponentSoft Condensed Matter (cond-mat.soft)0210 nano-technologyStructure factor
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Knots in finite memory walks

2016

We investigate the occurrence and size of knots in a continuum polymer model with finite memory via Monte Carlo simulations. Excluded volume interactions are local and extend only to a fixed number of successive beads along the chain, ensuring that at short length scales the excluded volume effect dominates, while at longer length scales the polymer behaves like a random walk. As such, this model may be useful for understanding the behavior of polymers in a melt or semi-dilute solution, where exactly the same crossover is believed to occur. In particular, finite memory walks allow us to investigate the role of local interactions in the transition from highly knotted ideal polymers to almost…

HistoryMonte Carlo methodCrossoverGeometry02 engineering and technologyShort length021001 nanoscience & nanotechnologyRandom walk01 natural sciencesComputer Science ApplicationsEducationExcluded volume effect0103 physical sciencesExcluded volumeStatistical physics010306 general physics0210 nano-technologyMathematicsJournal of Physics: Conference Series
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Can Soft Models Describe Polymer Knots?

2020

Similar to macroscopic ropes and cables, long polymers create knots. We address the fundamental question whether and under which conditions it is possible to describe these intriguing objects with crude models that capture only mesoscale polymer properties. We focus on melts of long polymers which we describe by a model typical for mesoscopic simulations. A worm-like chain model defines the polymer architecture. To describe nonbonded interactions, we deliberately choose a generic "soft" repulsive potential that leads to strongly overlapping monomers and coarse local liquid structure. The soft model is parametrized to accurately reproduce mesoscopic structure and conformations of reference p…

Length scalePolymers and PlasticsReference data (financial markets)Polymer architecture02 engineering and technology010402 general chemistry01 natural sciencesArticle[PHYS] Physics [physics]Inorganic ChemistryChain (algebraic topology)[CHIM] Chemical SciencesMaterials Chemistrymedicine[CHIM]Chemical SciencesStatistical physicsTopology (chemistry)ComputingMilieux_MISCELLANEOUSPhysics[PHYS]Physics [physics]Mesoscopic physicsQuantitative Biology::BiomoleculesOrganic ChemistryStiffness021001 nanoscience & nanotechnology0104 chemical sciencesCondensed Matter::Soft Condensed MatterExcluded volumemedicine.symptom0210 nano-technology
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Conformational Properties of Semiflexible Chains at Nematic Ordering Transitions in Thin Films: A Monte Carlo Simulation

2014

Athermal solutions of semiflexible macromolecules with excluded volume interactions and with varying concentration (dilute, semidilute, and concentrated solutions) in a film of thickness D between ...

Materials sciencePolymers and PlasticsOrganic ChemistryMonte Carlo method02 engineering and technology021001 nanoscience & nanotechnology01 natural sciencesInorganic ChemistryChemical physicsLiquid crystal0103 physical sciencesExcluded volumeMaterials ChemistryThin film010306 general physics0210 nano-technologyMacromoleculeMacromolecules
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Topological effects in ring polymers. II. Influence of persistence length

1999

The interplay of topological constraints and persistence length of ring polymers in their own melt is investigated by means of dynamical Monte Carlo simulations of a three dimensional lattice model. We ask if the results are consistent with an asymptotically regime where the rings behave like (compact) {\em lattice animals} in a self-consistent network of topological constraints imposed by neighbouring rings. Tuning the persistence length provides an efficient route to increase the ring overlap required for this mean-field picture to hold: The {\em effective} Flory exponent for the ring size decreases down to $\nu \stackrel{<}{\sim} 1/3$ with increasing persistence length. Evidence is provi…

Persistence lengthCharacteristic lengthMathematics::Commutative AlgebraStatistical Mechanics (cond-mat.stat-mech)FOS: Physical sciencesTopologyFractal dimensionRing sizeLattice (order)Excluded volumeExponentStructure factorCondensed Matter - Statistical MechanicsMathematics
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Cylindrical confinement of solutions containing semiflexible macromolecules: surface-induced nematic order versus phase separation

2021

Solutions of semiflexible polymers confined in cylindrical pores with repulsive walls are studied by Molecular Dynamics simulations for a wide range of polymer concentrations. Both the case where both lengths are of the same order and the case when the persistence length by far exceeds the contour length are considered, and the enhancement of nematic order along the cylinder axis is characterized. With increasing density the character of the surface effect changes from depletion to the formation of a layered structure. For binary 50 : 50 mixtures of the two types of polymers an interplay between surface enrichment of the stiffer component and the isotropic-nematic transition is found, and a…

Persistence lengthMaterials scienceIsotropy02 engineering and technologyGeneral ChemistryEntropy of mixing021001 nanoscience & nanotechnologyCondensed Matter Physics01 natural sciencesSymmetry (physics)Condensed Matter::Soft Condensed MatterChemical physicsLiquid crystalPhase (matter)0103 physical sciencesExcluded volumeCylinder010306 general physics0210 nano-technologySoft Matter
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Stretching semiflexible polymer chains: Evidence for the importance of excluded volume effects from Monte Carlo simulation

2011

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 penalty $\epsilon_b$ for chain bending. In the absence of excluded volume interactions, the persistence length $\ell_p$ of the polymers would then simply be $\ell_p=\ell_b(2d-2)^{-1}q_b^{-1}$ with $q_b= \exp(-\epsilon_b/k_BT)$, the bond length $\ell_b$ being the lattice spacing, and $k_BT$ is the thermal energy. Using Monte Carlo simulations applying the pruned-enriched Rosenbluth method (PERM), both $q_b$ and the chain length $N$ are varied over a wide r…

Persistence lengthPhysicsQuantitative Biology::BiomoleculesWork (thermodynamics)PolymersMonte Carlo methodFOS: Physical sciencesGeneral Physics and AstronomyCondensed Matter - Soft Condensed MatterSquare latticeCondensed Matter::Soft Condensed MatterBond lengthLattice constantChain (algebraic topology)Excluded volumeSoft Condensed Matter (cond-mat.soft)Physical and Theoretical ChemistryMonte Carlo MethodMathematical physicsThe Journal of Chemical Physics
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Semiflexible Macromolecules with Discrete Bond Angles Confined in Nanoslits: A Monte Carlo Test of Scaling Concepts

2013

Single semiflexible polymer chains confined in a planar slit geometry between parallel nonadsorbing repulsive walls a distance D apart are studied by Monte Carlo simulations of a lattice model, for the case of good solvent conditions. The polymers are modeled as self-avoiding walks on the simple cubic lattice, where every 90° kink requires a bending energy eb. For small qb = exp(−eb/kBT) the model has a large persistence length lp (given by lp ≈ 1/(4qb) in the bulk three-dimensional dilute solution, in units of the lattice spacing). Unlike the popular Kratky–Porod model of worm-like chains, this model takes both excluded volume into account and approximates the fact that bond angles between…

Persistence lengthQuantitative Biology::BiomoleculesPolymers and PlasticsChemistryOrganic ChemistryMonte Carlo methodMolecular physicsInorganic ChemistryPlanarMolecular geometryLattice constantComputational chemistryExcluded volumeMaterials ChemistryScalingLattice model (physics)Macromolecules
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