Parallel Monte Carlo Simulation of Single Polymer Chain

Gao, He Bei; Li, Hong; Qian, Chang Ji

doi:10.4028/www.scientific.net/amm.263-266.3317

Cited by 3 publications

(2 citation statements)

References 13 publications

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“…Wireless network mobile communication data transmission depends on optical cable optical fiber. Therefore, the superior performance of optical cable optical fiber communication transmission represents the top economic development and efficiency in the world [1]. In our country, at the end of 2017, the number of optical fiber access (FTTH/0) ports reached 657 million, and the full function standardization of the first stage of the 5G network was completed in 2018.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Weighted Clustering Method for Numerical Attributes of Communication Big Data Based on Cloud Computing

2020

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It is necessary to optimize clustering processing of communication big data numerical attribute feature information in order to improve the ability of numerical attribute mining of communication big data, and thus a big data clustering algorithm based on cloud computing was proposed. The cloud extended distributed feature fitting method was used to process the numerical attribute linear programming of communication big data, and the mutual information feature quantity of communication big data numerical attribute was extracted. Combined with fuzzy C-means clustering and linear regression analysis, the statistical analysis of big data numerical attribute feature information was carried out, and the associated attribute sample set of communication big data numerical attribute cloud grid distribution was constructed. Cloud computing and adaptive quantitative recurrent classifiers were used for data classification, and block template matching and multi-sensor information fusion were combined to search the clustering center automatically to improve the convergence of clustering. The simulation results show that, after the application of this method, the information fusion performance of the clustering process was better, the automatic searching ability of the data clustering center was stronger, the frequency domain equalization control effect was good, the bit error rate was low, the energy consumption was small, and the ability of fuzzy weighted clustering retrieval of numerical attributes of communication big data was effectively improved.

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Section: Introductionmentioning

confidence: 99%

Fuzzy Weighted Clustering Method for Numerical Attributes of Communication Big Data Based on Cloud Computing

2020

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“…The critical adsorption of polymer chain on the surface is a hot research topic for polymer science, bioinformatics and other aspects [1][2][3]. The adsorption of polymers is complex and is influenced by many factors.…”

Section: Introductionmentioning

confidence: 99%

A Scaling Algorithm of Self-avoiding Chain Adsorbed on the Surface

Gao¹,

Gu²,

Zhong³

et al. 2013

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A single polymer chain with one end tethered to an impenetrable flat surface is simulated by using Monte Carlo simulation method. The polymer chain is generated using self-avoiding walk method in the simple cubic lattice. The monomer does Brownian motion by the bondfluctuation method in the simulation. After a long Monte Carlo step, the conformation of the chain reaches equilibrium. There is a scaling relation between the surface contact number M and the chain length N at the critical adsorption temperature T c. The scaling algorithm is presented to determine the critical adsorption point T c by the variance between the interpolation value and the curve fitting value. The dependence of the surface contact number M on the chain length N is presented near the critical adsorption point T c by two critical exponents φ and δ. The results provide a new efficient method to locate the critical adsorption point and to find out the critical exponents.

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