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Finite Size Scaling and Numerical Simulation of Statistical Systems
Abstract
The theory of Finite Size Scaling describes a build-up of the bulk properties when a small system is increased in size. This description is particularly important in strongly correlated systems where critical fluctuations develop with increasing system size, including phase transition points, polymer conformations. Since numerical computer simulations are always done with finite samples, they rely on the Finite Size Scaling theory for data extrapolation and analysis. With the advent of large scale computing in recent years, the use of the size-scaling methods has become increasingly important.
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Cited by
Theoretical estimates of the critical exponents of the superfluid transition inHe4by lattice methods
Campostrini, M., Hasenbusch, M., Pelissetto, A., & Vicari, E. (2006) · Physical Review B · doi:10.1103/physrevb.74.144506 · Cited by 270
Finite-Size Scaling as a Way to Probe Near-Criticality in Natural Swarms
Attanasi, A., Cavagna, A., Del Castello, L., Giardina, I., Melillo, S., Parisi, L., Pohl, O., Rossaro, B., Shen, E., Silvestri, E., et al. (2014) · Physical Review Letters · doi:10.1103/physrevlett.113.238102 · Cited by 187
Metadata
- Authors
- Privman, V
- Venue
- WORLD SCIENTIFIC eBooks
- Publisher
- WORLD SCIENTIFIC
- Published
- 1990-01
- DOI
- 10.1142/1011
- OpenAlex
- W1621145279
- Cited by
- 1,286
- References
- 0
- FWCI
- 8.34
- Type
- book
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
