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Temperature Accelerated Dynamics in Glass-Forming Materials

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dc.contributor.author Tsalikis, DG en
dc.contributor.author Lempesis, N en
dc.contributor.author Boulougouris, GC en
dc.contributor.author Theodorou, DN en
dc.date.accessioned 2014-03-01T01:34:44Z
dc.date.available 2014-03-01T01:34:44Z
dc.date.issued 2010 en
dc.identifier.issn 1520-6106 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/20822
dc.subject.classification Chemistry, Physical en
dc.subject.other Characteristic distance en
dc.subject.other Classical molecular dynamics en
dc.subject.other Computational costs en
dc.subject.other Configurational spaces en
dc.subject.other Euclidean en
dc.subject.other Exhaustive search en
dc.subject.other Glass forming materials en
dc.subject.other Glass transition temperature en
dc.subject.other Inherent structures en
dc.subject.other Lennard-Jones potential en
dc.subject.other Local minimums en
dc.subject.other Molecular simulations en
dc.subject.other Novel methods en
dc.subject.other Optimal sampling en
dc.subject.other Orders of magnitude en
dc.subject.other Plot analysis en
dc.subject.other Potential energy landscapes en
dc.subject.other Random energy models en
dc.subject.other Self-similar en
dc.subject.other Spherical atoms en
dc.subject.other Temperature accelerated dynamics en
dc.subject.other Time evolutions en
dc.subject.other Time-scales en
dc.subject.other Algorithms en
dc.subject.other Fractal dimension en
dc.subject.other Glass en
dc.subject.other Molecular dynamics en
dc.subject.other Potential energy en
dc.subject.other Potential energy surfaces en
dc.subject.other Rate constants en
dc.subject.other Glass transition en
dc.title Temperature Accelerated Dynamics in Glass-Forming Materials en
heal.type journalArticle en
heal.identifier.primary 10.1021/jp908975d en
heal.identifier.secondary http://dx.doi.org/10.1021/jp908975d en
heal.language English en
heal.publicationDate 2010 en
heal.abstract In this work we propose a methodology for improving dynamical sampling in molecular simulations via temperature acceleration. The proposed approach combines the novel methods of Voter for temperature-accelerated dynamics with the multiple histogram reweighting method of Ferrenberg and Swendsen, its dynamical extension by Nieto-Draghi et al., and with hazard plot analysis, allowing optimal sampling with small computational cost over time scales inaccessible to classical molecular dynamics simulations by utilizing the ""inherent structure"" idea. The time evolution of the system is viewed as a succession of transitions between ""basins"" in its potential energy landscape, each basin containing a local minimum of the energy (inherent structure). Applying the proposed algorithm to a glass-forming material consisting of a mixture of spherical atoms interacting via Lennard-Jones potentials, we show that it is possible to perform an exhaustive search and evaluate rate constants for basin-to-basin transitions that cover several orders of magnitude on the time scale, far beyond the abilities of any competitive dynamical study, revealing an extreme ruggedness of the potential energy landscape in the vicinity of the glass transition temperature. By analyzing the network of inherent structures, we find that there are characteristic distances and rate constants related to the dynamical entrapment of the system in a neighborhood of basins (a metabasin), whereas evidence to support a random energy model is provided. The multidimensional configurational space displays a self-similar character depicted by a fractal dimension around 2.7 (±0.5) for the set of sampled inherent structures. Only transitions with small Euclidean measure can be considered as localized. © 2010 American Chemical Society. en
heal.publisher AMER CHEMICAL SOC en
heal.journalName Journal of Physical Chemistry B en
dc.identifier.doi 10.1021/jp908975d en
dc.identifier.isi ISI:000278479900017 en
dc.identifier.volume 114 en
dc.identifier.issue 23 en
dc.identifier.spage 7844 en
dc.identifier.epage 7853 en


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