کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
978682 933298 2011 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
flatIGW — An inverse algorithm to compute the density of states of lattice self avoiding walks
موضوعات مرتبط
مهندسی و علوم پایه ریاضیات فیزیک ریاضی
پیش نمایش صفحه اول مقاله
flatIGW — An inverse algorithm to compute the density of states of lattice self avoiding walks
چکیده انگلیسی

We show that the Density of States (DoS) for lattice Self Avoiding Walks can be estimated by using an inverse algorithm, called flatIGW, whose step-growth rules are dynamically adjusted by requiring the energy histogram to be locally flat. Here, the (attractive) energy associated with a configuration is taken to be proportional to the number of non-bonded nearest neighbor pairs (contacts). The energy histogram is able to explicitly direct the growth of a walk because the step-growth rule of the Interacting Growth Walk (Narasimhan et al. (2003) [5]) samples the available nearest neighbor sites according to the number of contacts they would make. We have obtained the complex Fisher zeros corresponding to the DoS, estimated for square lattice walks of various lengths, and located the θθ temperature by extrapolating the finite size values of the real zeros to their asymptotic value, ∼1.49 (reasonably close to the known value, ∼1.50 (Barkema et al. (1998) [14]).

Research highlights
► Inverse algorithm to estimate Density of States (DoS) of lattice Self Avoiding Walks.
► Algorithm driven by local flatness requirement of the energy histogram.
► Complex Fisher zeros corresponding to DoS for square lattice walks obtained.
► θθ-temperature estimated by analysis of Fisher zeros.
► Agreement with the best known value validates the algorithm.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Physica A: Statistical Mechanics and its Applications - Volume 390, Issue 7, 1 April 2011, Pages 1258–1268
نویسندگان
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