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Автор J O'Connell
Автор F Sullivan
Автор D Libes
Автор E Orlandini
Автор M C Tesi
Автор A L Stella
Автор T L Einstein
Дата выпуска 1991-10-07
dc.description Self-avoiding random surfaces on a cubic lattice are studied by extensive Monte Carlo sampling. The surfaces have an empty boundary and the topology of a 2-sphere. An oct-tree data-structure allows good statistics to be obtained for surfaces whose plaquette number is up to an order of magnitude greater than in previous investigations. The new simulation strategy is explained in detail and compared with previous ones. The critical plaquette fugacity, mu <sup>-1</sup>, and the entropic exponent, theta , are determined by maximum likelihood methods and by logarithmic plots of the average surface area versus fugacity. The latter approach, which produces results having much better convergence by taking advantage of the scaling properties of several runs at various fugacities, leads to the estimates mu =1.729+or-0.036 and theta =1.500+or-0.026. Linear regression estimates for the radius of gyration exponent give v=0.509+or-0.004, while the asymptotic ratio of surface area over average volume enclosed approaches a finite value 3.18+or-0.03. The results give strong corroborating evidence that this long-controversial problem belongs to the universality class of branched polymers.
Формат application.pdf
Издатель Institute of Physics Publishing
Название Self-avoiding random surfaces: Monte Carlo study using oct-tree data-structure
Тип paper
DOI 10.1088/0305-4470/24/19/024
Print ISSN 0305-4470
Журнал Journal of Physics A: Mathematical and General
Том 24
Первая страница 4619
Последняя страница 4635
Аффилиация J O'Connell; Centre for Comput. & Appl. Math., Nat. Inst. of Stand. & Tecnnol., Gaithersburg, MD, USA
Аффилиация F Sullivan; Centre for Comput. & Appl. Math., Nat. Inst. of Stand. & Tecnnol., Gaithersburg, MD, USA
Аффилиация D Libes; Centre for Comput. & Appl. Math., Nat. Inst. of Stand. & Tecnnol., Gaithersburg, MD, USA
Аффилиация E Orlandini; Centre for Comput. & Appl. Math., Nat. Inst. of Stand. & Tecnnol., Gaithersburg, MD, USA
Аффилиация M C Tesi; Centre for Comput. & Appl. Math., Nat. Inst. of Stand. & Tecnnol., Gaithersburg, MD, USA
Аффилиация A L Stella; Centre for Comput. & Appl. Math., Nat. Inst. of Stand. & Tecnnol., Gaithersburg, MD, USA
Аффилиация T L Einstein; Centre for Comput. & Appl. Math., Nat. Inst. of Stand. & Tecnnol., Gaithersburg, MD, USA
Выпуск 19

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