The DOI matches its Crossref record; 117 of the 117 references it cites were found in a registry or an index.
Coarse grain models and the computer simulation of soft materials
Abstract
This article presents a topical review of coarse grain simulation techniques. First, we motivate these techniques with illustrative examples from biology and materials science. Next, approaches in the literature for increasing the efficiency of atomistic simulations are mentioned. Considerations related to a specific coarse grain modelling approach are discussed at length, and the consequences arising from the loss of detail are given. Finally, a large number of results are presented to give the reader a feeling for the types of problem which can be addressed.
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Citations
Cites
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Cited by
Perspective: Coarse-grained models for biomolecular systems
Noid, W. G. (2013) · The Journal of Chemical Physics · doi:10.1063/1.4818908 · Cited by 893
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
Coarse grained protein- lipid model with application to lipoprotein particles
Shih, A. Y., Arkhipov, A., Freddolino, L., & Schulten, K. (2006) · The Journal of Physical Chemistry B · doi:10.1021/jp0550816 · Cited by 267
Coarse-Grained MD Simulations of Membrane Protein-Bilayer Self-Assembly
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Biomolecular simulation and modelling: status, progress and prospects
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Metadata
- Authors
- Nielsen, S. O., Lopez, C. F., Srinivas, G., & Klein, M. L.
- Venue
- Journal of Physics: Condensed Matter
- Publisher
- IOP Publishing
- Published
- 2004-04-02
- Volume
- 16
- Issue
- 15
- Pages
- R481-R512
- ISSN
- 0953-8984 (ISSN-L)
- 1361-648X
- OpenAlex
- W2138671124
- Cited by
- 423
- References
- 117
- FWCI
- 19.59
- Type
- journal article
- Language
- en
- Open access
- closed
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- Nielsen, S. O., Lopez, C. F., Srinivas, G., & Klein, M. L. (2004). Coarse grain models and the computer simulation of soft materials. Journal of Physics: Condensed Matter. https://doi.org/10.1088/0953-8984/16/15/r03
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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.
