The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Molecular and Mesoscale Simulation Methods for Polymer Materials
Abstract
▪ Abstract Polymers offer a wide spectrum of possibilities for materials applications, in part because of the chemical complexity and variability of the constituent molecules, and in part because they can be blended together with other organic as well as inorganic components. The majority of applications of polymeric materials is based on their excellent mechanical properties, which arise from the long-chain nature of the constituents. Microscopically, this means that polymeric materials are able to respond to external forces in a broad frequency range, i.e., with a broad range of relaxation processes. Computer simulation methods are ideally suited to help to understand these processes and the structural properties that lead to them and to further our ability to predict materials properties and behavior. However, the broad range of timescales and underlying structure prohibits any one single simulation method from capturing all of these processes. This manuscript provides an overview of some of the more popular computational models and methods used today in the field of molecular and mesoscale simulation of polymeric materials, ranging from molecular models and methods that treat electronic degrees of freedom to mesoscopic field theoretic methods.
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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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Viscosity and self-diffusion coefficient of hydrogenated polybutadiene
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Cited by
Multiscale Studies on Ionic Liquids
Dong, K., Liu, X., Dong, H., Zhang, X., & Zhang, S. (2017) · Chemical Reviews · doi:10.1021/acs.chemrev.6b00776 · Cited by 773
Mehta, M., Bui, T. A., Yang, X., Aksoy, Y., Goldys, E. M., & Deng, W. (2023) · ACS Materials Au · doi:10.1021/acsmaterialsau.3c00032 · Cited by 688
Coarse grain models and the computer simulation of soft materials
Nielsen, S. O., Lopez, C. F., Srinivas, G., & Klein, M. L. (2004) · Journal of Physics: Condensed Matter · doi:10.1088/0953-8984/16/15/r03 · Cited by 423
MULTISCALE FLOW SIMULATIONS USING PARTICLES
Koumoutsakos, P. (2005) · Annual Review of Fluid Mechanics · doi:10.1146/annurev.fluid.37.061903.175753 · Cited by 324
Tethered Nano Building Blocks: Toward a Conceptual Framework for Nanoparticle Self-Assembly
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Self-citation
Metadata
- Authors
- Glotzer, S. C., & Paul, W.
- Venue
- Annual Review of Materials Research
- Publisher
- Annual Reviews
- Published
- 2002-08
- Volume
- 32
- Issue
- 1
- Pages
- 401-436
- ISSN
- 1531-7331 (ISSN-L)
- 1545-4118
- OpenAlex
- W2118286527
- Cited by
- 218
- References
- 5
- FWCI
- 0.74
- Type
- journal article
- Language
- en
- Open access
- closed
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