dc.contributor.author | Sokolovski, D. | |
dc.contributor.author | Rusconi, S. | |
dc.contributor.author | Akhmatskaya, E. | |
dc.contributor.author | Asua, J.M. | |
dc.date.accessioned | 2016-06-13T13:32:21Z | |
dc.date.available | 2016-06-13T13:32:21Z | |
dc.date.issued | 2015-12-31 | |
dc.identifier.issn | 1364-5021 | |
dc.identifier.uri | http://hdl.handle.net/20.500.11824/152 | |
dc.description.abstract | Using simple exactly solvable models, we show that event-dependent time delays may lead to significant non-Poisson effects in the statistics of polymer chain growth. The results are confirmed by stochastic simulation of various growth scenarios. Our interest in mathematical aspects of non-Markovian growth arises from recent successful application of delayed probability density functions in stochastic modelling of controlled radical polymerization. | |
dc.format | application/pdf | |
dc.language.iso | eng | en_US |
dc.rights | Reconocimiento-NoComercial-CompartirIgual 3.0 España | en_US |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/3.0/es/ | en_US |
dc.subject | Event-dependent delays | |
dc.subject | Non-markovian growth | |
dc.subject | Polymerization | |
dc.title | Non-Markovian models of the growth of a polymer chain | |
dc.type | info:eu-repo/semantics/article | en_US |
dc.identifier.doi | 10.1098/rspa.2014.0899 | |
dc.relation.publisherversion | http://rspa.royalsocietypublishing.org/content/471/2180/20140899 | |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | en_US |
dc.type.hasVersion | info:eu-repo/semantics/acceptedVersion | en_US |
dc.journal.title | Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences | en_US |