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Torsional Entropy at the Origin of the Reversible Temperature-Induced Phase Transition of Cellulose

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TLDR
In this paper, the temperature-induced phase transition of native cellulose was studied by X-ray diffraction and molecular dynamics (MD) simulation, and the phase transition was found to be irreversible in the MD simulation when using current GROMOS 53a6 force field parameters.
Abstract
The temperature-induced phase transition of native cellulose was studied by X-ray diffraction and molecular dynamics (MD) simulation. Upon heating, this transition is characterized by an important expansion of the distance between the planes of glucopyranose rings, which is observed both experimentally and in MD. Computed trajectories suggest that this expansion is caused by a rotation of the exocyclic hydroxymethyl groups. Upon cooling, the phase transition, experimentally known as reversible, was found to be irreversible in the MD simulation when using current GROMOS 53a6 force field parameters. By varying one of these, related to the potential energy of the hydroxymethyl conformers, a reversible phase transition could be observed in silico. From the linear dependence of the transition temperature on the dihedral energy of the different conformers, the entropy change due to the phase transition could be estimated to be about 26 JK–1 mol–1. This value essentially reflects the additive contribution of the...

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Journal ArticleDOI

A comparative molecular dynamics study of crystalline, paracrystalline and amorphous states of cellulose

TL;DR: In this article, the authors apply united-atom molecular dynamics simulations to quantify changes in different morphologies of cellulose and reveal that the paracrystalline phase may be an intermediate, kinetically arrested phase formed upon amorphisation of crystalline cellulose.
Journal ArticleDOI

Deformation of cellulose nanocrystals: entropy, internal energy and temperature dependence

TL;DR: In this article, an in-depth analysis of the molecular deformation mechanisms in cellulose during axial stretching was performed, and it was demonstrated that entropy affects the stiffness of cellulose nanocrystals significantly.
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High-temperature decomposition of the cellulose molecule: a stochastic molecular dynamics study

TL;DR: In this paper, the authors carried out molecular dynamics simulations employing the ReaxFF reactive force field to study the initial step of the thermal decomposition process of cellulose pyrolysis at high temperatures, where the reaction rates are high enough to make the simulation times practical.
Journal ArticleDOI

Interfacial Adhesion of Polylactic Acid on Cellulose Surface: A Molecular Dynamics Study

TL;DR: This study provides a basic insight into the interfacial mechanisms of PLA and cellulose surfaces at the molecular level and shows improved adhesion to PLA due to enhanced hydrogen bonding.
References
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Journal ArticleDOI

VMD: Visual molecular dynamics

TL;DR: VMD is a molecular graphics program designed for the display and analysis of molecular assemblies, in particular biopolymers such as proteins and nucleic acids, which can simultaneously display any number of structures using a wide variety of rendering styles and coloring methods.
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Molecular dynamics with coupling to an external bath.

TL;DR: In this paper, a method is described to realize coupling to an external bath with constant temperature or pressure with adjustable time constants for the coupling, which can be easily extendable to other variables and to gradients, and can be applied also to polyatomic molecules involving internal constraints.
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Particle mesh Ewald: An N⋅log(N) method for Ewald sums in large systems

TL;DR: An N⋅log(N) method for evaluating electrostatic energies and forces of large periodic systems is presented based on interpolation of the reciprocal space Ewald sums and evaluation of the resulting convolutions using fast Fourier transforms.
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GROMACS 4: Algorithms for highly efficient, load-balanced, and scalable molecular simulation

TL;DR: A new implementation of the molecular simulation toolkit GROMACS is presented which now both achieves extremely high performance on single processors from algorithmic optimizations and hand-coded routines and simultaneously scales very well on parallel machines.
Journal ArticleDOI

LINCS : A linear constraint solver for molecular simulations

TL;DR: Although the derivation of the algorithm is presented in terms of matrices, no matrix matrix multiplications are needed and only the nonzero matrix elements have to be stored, making the method useful for very large molecules.
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