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Cited by 503

The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.

Efficient Monte Carlo Algorithm and High-Precision Results for Percolation

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Newman, M. E. J., Ziff, R. M.·2000·Physical Review Letters

Abstract

We present a new Monte Carlo algorithm for studying site or bond percolation on any lattice. The algorithm allows us to calculate quantities such as the cluster size distribution or spanning probability over the entire range of site or bond occupation probabilities from zero to one in a single run which takes an amount of time scaling linearly with the number of sites on the lattice. We use our algorithm to determine that the percolation transition occurs at p(c) = 0.592 746 21(13) for site percolation on the square lattice and to provide clear numerical confirmation of the conjectured 4/3-power stretched-exponential tails in the spanning probability functions.

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Metadata

Authors
Newman, M. E. J., & Ziff, R. M.
Venue
Physical Review Letters
Published
2000-11-06
Volume
85
Issue
19
Pages
4104-4107
ISSN
  • 0031-9007 (ISSN-L)
  • 1079-7114
OpenAlex
W2072053277
Cited by
503
References
10
FWCI
10.10
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Efficient Monte Carlo Algorithm and High-Precision Results for Percolation. https://app.cochat.ai/papers/10.1103/physrevlett.85.4104
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Newman, M. E. J., & Ziff, R. M. (2000). Efficient Monte Carlo Algorithm and High-Precision Results for Percolation. Physical Review Letters. https://doi.org/10.1103/physrevlett.85.4104

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.