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Cited by 754

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The Semiclassical Initial Value Representation: A Potentially Practical Way for Adding Quantum Effects to Classical Molecular Dynamics Simulations

Miller, William H.·2001·The Journal of Physical Chemistry A

Abstract

The semiclassical (SC) initial value representation (IVR) provides a potentially practical way for adding quantum mechanical effects to classical molecular dynamics (MD) simulations of the dynamics of complex molecular systems (i.e., those with many degrees of freedom). It does this by replacing the nonlinear boundary value problem of semiclassical theory by an average over the initial conditions of classical trajectories. This paper reviews the background and rebirth of interest in such approaches and surveys a variety of their recent applications. Special focus is on the ability to treat the dynamics of complex systems, and in this regard, the forward−backward (FB) version of the approach is especially promising. Several examples of the FB-IVR applied to model problems of many degrees of freedom show it to be capable of describing quantum effects quite well and also how these effects are quenched when some of the degrees of freedom are averaged over (“decoherence”).

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Crossref · 10.1021/jp003712k

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Metadata

Authors
Miller, W. H.
Venue
The Journal of Physical Chemistry A
Published
2001-03-02
Volume
105
Issue
13
Pages
2942-2955
ISSN
  • 1089-5639 (ISSN-L)
  • 1520-5215
OpenAlex
W2297346025
Cited by
754
References
1
FWCI
27.82
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The Semiclassical Initial Value Representation: A Potentially Practical Way for Adding Quantum Effects to Classical Molecular Dynamics Simulations. https://app.cochat.ai/papers/10.1021/jp003712k
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Miller, W. H. (2001). The Semiclassical Initial Value Representation: A Potentially Practical Way for Adding Quantum Effects to Classical Molecular Dynamics Simulations. The Journal of Physical Chemistry A. https://doi.org/10.1021/jp003712k

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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.