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Numerical integration of the cartesian equations of motion of a system with constraints: molecular dynamics of n-alkanes
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Research works printed but not linked: 6
- Barojas, 1973, Phys. Rev. A, 7, 1092, 10.1103/PhysRevA.7.1092 · DOI · Paper page
- Rahman, 1971, J. Chem. Phys., 55, 3336, 10.1063/1.1676585 · DOI
- Rahman, 1974, J. Chem. Phys., 60, 1545, 10.1063/1.1681229 · DOI
- Ryckaert, 1975, Chem. Phys. Lett., 30, 123, 10.1016/0009-2614(75)85513-8 · DOI
- Orban, 1974, Report on CECAM Workshop, Methods in Molecular Dynamics
- Verlet, 1967, Phys. Rev., 159, 98, 10.1103/PhysRev.159.98 · DOI
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Metadata
- Authors
- Ryckaert, J.-P., Ciccotti, G., & Berendsen, H. J. C.
- Venue
- Journal of Computational Physics
- Publisher
- Elsevier BV
- Published
- 1977-03
- Volume
- 23
- Issue
- 3
- Pages
- 327-341
- ISSN
- 0021-9991 (ISSN-L)
- OpenAlex
- W2106140689
- Cited by
- 21,239
- References
- 0
- FWCI
- 8.48
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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