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Next Neighbors Addition-Induced Change of 2D Ising Model Critical Parameters
Optical Memory and Neural Networks Pub Date : 2019-07-01 , DOI: 10.3103/s1060992x19020073 B. V. Kryzhanovsky , I. M. Karandashev
中文翻译:
下一个邻居加法引起的二维Ising模型关键参数变化
更新日期:2019-07-01
Optical Memory and Neural Networks Pub Date : 2019-07-01 , DOI: 10.3103/s1060992x19020073 B. V. Kryzhanovsky , I. M. Karandashev
Abstract
A diagonally connected two-dimensional lattice is the objective of the research. The model draws interest because each of its spins has 6 connects as in a 3D lattice. On the other hand, the planarity of the model allows us to use a strict polynomial algorithm to find its partition function and other characteristics. The Kasteleyn-Fisher algorithm is employed to carry out a computer simulation which enables us to see how the heat capacity behaves with the increasing lattice dimensionality. Given a finite lattice dimensionality, it is impossible to draw a definite conclusion, yet there is every reason to believe that the heat capacity diverges logarithmically at the critical point.中文翻译:
下一个邻居加法引起的二维Ising模型关键参数变化