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The Art of Molecular Dynamics Simulation
Abstract
From the Publisher: This book describes the extremely powerful technique of molecular dynamics simulation, which involves solving the classical many-body problem in contexts relevant to the study of matter at the atomic level. The method allows the prediction of the static and dynamic properties of substances directly from the underlying interactions between the molecules. Because there is no alternative approach capable of handling such a broad range of problems at the required level of detail, molecular dynamics methods have proved themselves indispensable in both pure and applied research.
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Citations
Cited by
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He, Y.-L., & Xie, T. (2015) · Applied Thermal Engineering · doi:10.1016/j.applthermaleng.2015.02.013 · Cited by 408
Applications of hybrid models in chemical, petroleum, and energy systems: A systematic review
Zendehboudi, S., Rezaei, N., & Lohi, A. (2018) · Applied Energy · doi:10.1016/j.apenergy.2018.06.051 · Cited by 394
Metadata
- Authors
- Rapaport, D. C., Blumberg, R. L., McKay, S. R., & Christian, W.
- Venue
- Computers in Physics
- Publisher
- AIP Publishing
- Published
- 1996-09-01
- Volume
- 10
- Issue
- 5
- Pages
- 456-456
- ISSN
- 0894-1866 (ISSN-L)
- OpenAlex
- W3010525046
- Cited by
- 1,247
- References
- 0
- FWCI
- 5.63
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: The Art of Molecular Dynamics Simulation. https://app.cochat.ai/papers/10.1063/1.4822471
- The paper
- Rapaport, D. C., Blumberg, R. L., McKay, S. R., & Christian, W. (1996). The Art of Molecular Dynamics Simulation. Computers in Physics. https://doi.org/10.1063/1.4822471
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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.
