The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Multiscale Simulation of Soft Matter: From Scale Bridging to Adaptive Resolution
Abstract
The relation between atomistic chemical structure, molecular architecture, molecular weight, and material properties is of basic concern in modern soft material science and includes standard properties of bulk materials and surface and interface aspects, as well as the relation between structure and function in nanoscopic objects and molecular assemblies of both synthetic and biological origin. This all implies a thorough understanding on many length and correspondingly time scales, ranging from (sub)atomistic to macroscopic. Presently, computer simulations play an increasingly important, if not central, role. Some problems do not require specific atomistic details, whereas others require them only locally. However, in many cases this strict separation is not sufficient for a comprehensive understanding of systems, and flexible simulation schemes are required that link the different levels of resolution. We here give a general view of the problem regarding soft matter and discuss some specific examples of linked simulation techniques at different resolution levels. We then discuss a recently developed flexible simulation scheme, the AdResS method, which allows one to adaptively change the resolution in certain regions of space on demand.
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Citations
Cites
Computer Simulation of Liquids
Allen, M. P., & Tildesley, D. J. (2017) · doi:10.1093/oso/9780198803195.001.0001 · Cited by 20,945
Dynamics of entangled linear polymer melts: A molecular-dynamics simulation
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Self-citationDeriving effective mesoscale potentials from atomistic simulations
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“An example of a typical procedure leading to the appropriate tabulated potential is the iterative Boltzmann inversion method (16, 24).”
MethodHierarchical modeling of polystyrene: From atomistic to coarse-grained simulations
Harmandaris, V. A., Adhikari, N. P., van der Vegt, N. F. A., & Kremer, K. (2006) · Macromolecules · doi:10.1021/ma0606399 · Cited by 350
Self-citationComparison between coarse-graining models for polymer systems: Two mapping schemes for polystyrene
Harmandaris, V. A., Reith, D., van der Vegt, N. F. A., & Kremer, K. (2007) · Macromolecular Chemistry and Physics · doi:10.1002/macp.200700245 · Cited by 179
Self-citationLong time atomistic polymer trajectories from coarse grained simulations: Bisphenol-A polycarbonate
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“The derived structures compare well to scattering experiments (Figure 3a) (28).”
BackgroundMethodResultInfluentialSelf-citation
Cited by
Computer Simulation of Liquids
Allen, M. P., & Tildesley, D. J. (2017) · doi:10.1093/oso/9780198803195.001.0001 · Cited by 20,945
Perspective: Coarse-grained models for biomolecular systems
Noid, W. G. (2013) · The Journal of Chemical Physics · doi:10.1063/1.4818908 · Cited by 893
Hierarchically structured bioinspired nanocomposites
Nepal, D., Kang, S., Adstedt, K. M., Kanhaiya, K., Bockstaller, M. R., Brinson, L. C., Buehler, M. J., Coveney, P. V., Dayal, K., El-Awady, J. A., et al. (2023) · Nature Materials · doi:10.1038/s41563-022-01384-1 · Cited by 594
Multiscale simulation of soft matter systems–from the atomistic to the coarse-grained level and back
Peter, C., & Kremer, K. (2009) · Soft Matter · doi:10.1039/b912027k · Cited by 465
Self-citationMuller, M. P., Jiang, T., Sun, C., Lihan, M., Pant, S., Mahinthichaichan, P., Trifan, A., & Tajkhorshid, E. (2019) · Chemical Reviews · doi:10.1021/acs.chemrev.8b00608 · Cited by 282
Metadata
- Authors
- Praprotnik, M., Site, L. D., & Kremer, K.
- Venue
- Annual Review of Physical Chemistry
- Publisher
- Annual Reviews
- Published
- 2008-05-01
- Volume
- 59
- Issue
- 1
- Pages
- 545-571
- ISSN
- 0066-426X (ISSN-L)
- 1545-1593
- OpenAlex
- W2111355750
- Cited by
- 483
- References
- 7
- FWCI
- 1.45
- Type
- journal article
- Language
- en
- Open access
- closed
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- Praprotnik, M., Site, L. D., & Kremer, K. (2008). Multiscale Simulation of Soft Matter: From Scale Bridging to Adaptive Resolution. Annual Review of Physical Chemistry. https://doi.org/10.1146/annurev.physchem.59.032607.093707
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