The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Configurational bias Monte Carlo: a new sampling scheme for flexible chains
Open accessAbstract
We propose a novel approach that allows efficient numerical simulation of systems consisting of flexible chain molecules. The method is especially suitable for the numerical simulation of dense chain systems and monolayers. A new type of Monte Carlo move is introduced that makes it possible to carry out large scale conformational changes of the chain molecule in a single trial move. Our scheme is based on the selfavoiding random walk algorithm of Rosenbluth and Rosenbluth. As an illustration, we compare the results of a calculation of mean-square end to end lengths for single chains on a two-dimensional square lattice with corresponding data gained from other simulations.
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Citations
Cites
Equation of State Calculations by Fast Computing Machines
Metropolis, N., Rosenbluth, A. W., Rosenbluth, M. N., Teller, A. H., & Teller, E. (1953) · The Journal of Chemical Physics · doi:10.1063/1.1699114 · Cited by 37,192
Computer Simulation of Liquids
Allen, M. P., & Tildesley, D. J. (2017) · doi:10.1093/oso/9780198803195.001.0001 · Cited by 20,945
Cited by
Computer Simulation of Liquids
Allen, M. P., & Tildesley, D. J. (2017) · doi:10.1093/oso/9780198803195.001.0001 · Cited by 20,945
Chen, B., Potoff, J. J., & Siepmann, J. I. (2001) · The Journal of Physical Chemistry B · doi:10.1021/jp003882x · Cited by 835
Self-citationNovel scheme to study structural and thermal properties of continuously deformable molecules
Frenkel, D., Mooij, G. C. A. M., & Smit, B. (1992) · Journal of Physics: Condensed Matter · doi:10.1088/0953-8984/4/12/006 · Cited by 462
Self-citationLiu, X., Li, Y., Zhu, G., Ban, Y., Xu, L., & Yang, W. (2011) · Angewandte Chemie International Edition · doi:10.1002/anie.201104383 · Cited by 355
Biological and synthetic membranes: What can be learned from a coarse-grained description?
MULLER, M., KATSOV, K., & SCHICK, M. (2006) · Physics Reports · doi:10.1016/j.physrep.2006.08.003 · Cited by 320
Metadata
- Authors
- Siepmann, J. I., & Frenkel, D.
- Venue
- Molecular Physics
- Publisher
- Informa UK Limited
- Published
- 1992-01
- Volume
- 75
- Issue
- 1
- Pages
- 59-70
- ISSN
- 0026-8976 (ISSN-L)
- 1362-3028
- OpenAlex
- W2003670327
- Cited by
- 1,117
- References
- 2
- FWCI
- 17.62
- Type
- journal article
- Language
- en
- Open access
- green
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- Siepmann, J. I., & Frenkel, D. (1992). Configurational bias Monte Carlo: a new sampling scheme for flexible chains. Molecular Physics. https://doi.org/10.1080/00268979200100061
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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.