{"title":"膨胀分形网络的动力学","authors":"A. V. Teixeira, P. Licínio","doi":"10.1209/epl/i1999-00141-0","DOIUrl":null,"url":null,"abstract":"The dynamics of swollen fractal networks (Rouse model) has been studied through computer simulations. The fluctuation-relaxation theorem was used instead of the usual Langevin approach to Brownian dynamics. We measured the equivalent of the mean square displacement ⟨r 2⟩ and the coefficient of self-diffusion D of two- and three-dimensional Sierpinski networks and of the two-dimensional percolation network. The results showed an anomalous diffusion, i.e., a power law for D, decreasing with time with an exponent proportional to the spectral dimension of the network.","PeriodicalId":171520,"journal":{"name":"EPL (Europhysics Letters)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Dynamics of swollen fractal networks\",\"authors\":\"A. V. Teixeira, P. Licínio\",\"doi\":\"10.1209/epl/i1999-00141-0\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The dynamics of swollen fractal networks (Rouse model) has been studied through computer simulations. The fluctuation-relaxation theorem was used instead of the usual Langevin approach to Brownian dynamics. We measured the equivalent of the mean square displacement ⟨r 2⟩ and the coefficient of self-diffusion D of two- and three-dimensional Sierpinski networks and of the two-dimensional percolation network. The results showed an anomalous diffusion, i.e., a power law for D, decreasing with time with an exponent proportional to the spectral dimension of the network.\",\"PeriodicalId\":171520,\"journal\":{\"name\":\"EPL (Europhysics Letters)\",\"volume\":\"5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-07-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"EPL (Europhysics Letters)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1209/epl/i1999-00141-0\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"EPL (Europhysics Letters)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1209/epl/i1999-00141-0","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The dynamics of swollen fractal networks (Rouse model) has been studied through computer simulations. The fluctuation-relaxation theorem was used instead of the usual Langevin approach to Brownian dynamics. We measured the equivalent of the mean square displacement ⟨r 2⟩ and the coefficient of self-diffusion D of two- and three-dimensional Sierpinski networks and of the two-dimensional percolation network. The results showed an anomalous diffusion, i.e., a power law for D, decreasing with time with an exponent proportional to the spectral dimension of the network.