Monte Carlo simulations of densely-packed athermal polymers in the bulk and under confinement

Foteinopoulou, Katerina, Karagiannis, Nikos Ch. and Laso Carbajo, Manuel ORCID: https://orcid.org/0000-0001-5350-7428 (2015). Monte Carlo simulations of densely-packed athermal polymers in the bulk and under confinement. "Chemical Engineering Science", v. 121 ; pp. 118-132. ISSN 0009-2509. https://doi.org/10.1016/j.ces.2014.08.021.

Descripción

Título: Monte Carlo simulations of densely-packed athermal polymers in the bulk and under confinement
Autor/es:
Tipo de Documento: Artículo
Título de Revista/Publicación: Chemical Engineering Science
Fecha: Enero 2015
ISSN: 0009-2509
Volumen: 121
Materias:
ODS:
Palabras Clave Informales: Monte Carlo simulation; Entanglements and knots; Scaling laws; Jamming; Hard sphere chains; Entropy-driven phase transition
Escuela: Instituto de Sistemas Optoelectrónicos y Microtecnología (ISOM) (UPM)
Departamento: Otro
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

We review the main results from extensive Monte Carlo (MC) simulations on athermal polymer packings in the bulk and under confinement. By employing the simplest possible model of excluded volume, macromolecules are represented as freely-jointed chains of hard spheres of uniform size. Simulations are carried out in a wide concentration range: from very dilute up to very high volume fractions, reaching the maximally random jammed (MRJ) state. We study how factors like chain length, volume fraction and flexibility of bond lengths affect the structure, shape and size of polymers, their packing efficiency and their phase behaviour (disorder–order transition). In addition, we observe how these properties are affected by confinement realized by flat, impenetrable walls in one dimension. Finally, by mapping the parent polymer chains to primitive paths through direct geometrical algorithms, we analyse the characteristics of the entanglement network as a function of packing density.

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Más información

ID de Registro: 38817
Identificador DC: https://oa.upm.es/38817/
Identificador OAI: oai:oa.upm.es:38817
URL Portal Científico: https://portalcientifico.upm.es/es/ipublic/item/5491272
Identificador DOI: 10.1016/j.ces.2014.08.021
URL Oficial: http://www.sciencedirect.com/science/article/pii/S...
Depositado por: Memoria Investigacion
Depositado el: 23 Dic 2015 19:15
Ultima Modificación: 12 Nov 2025 00:00