The DOI matches its Crossref record.
The formulation of quantum statistical mechanics based on the Feynman path centroid density. I. Equilibrium properties
Abstract
A formulation of quantum statistical mechanics is discussed in which the Feynman path centroid density in Feynman path integration is recast as the central statistical distribution used to average equilibrium and dynamical quantities. In this formulation, the path integral centroid density occupies the same role as the Boltzmann density in classical statistical mechanics. Therefore, the statistical ensemble of imaginary time path centroid configurations provides the distribution which is used to average the appropriately formulated effective operators and imaginary time correlation functions. An accurate renormalized diagrammatic perturbation theory for the centroid density and centroid-constrained imaginary time propagator will also be described with particular emphasis given to the mathematical advantages arising from the centroid-based formulation. The present paper is concerned with the calculation of equilibrium properties from the centroid perspective, while the companion paper describes a centroid-based formalism for calculating dynamical time correlation functions.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Medders, G. R., Babin, V., & Paesani, F. (2014) · Journal of Chemical Theory and Computation · doi:10.1021/ct5004115 · Cited by 435
The Properties of Water: Insights from Quantum Simulations
Paesani, F., & Voth, G. A. (2009) · The Journal of Physical Chemistry B · doi:10.1021/jp810590c · Cited by 256
Self-citation
Metadata
- Authors
- Cao, J., & Voth, G. A.
- Venue
- The Journal of Chemical Physics
- Publisher
- AIP Publishing
- Published
- 1994-04-01
- Volume
- 100
- Issue
- 7
- Pages
- 5093-5105
- ISSN
- 0021-9606 (ISSN-L)
- 1089-7690
- OpenAlex
- W4247799855
- Cited by
- 365
- References
- 0
- FWCI
- 6.35
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: The formulation of quantum statistical mechanics based on the Feynman path centroid density. I. Equilibrium properties. https://app.cochat.ai/papers/10.1063/1.467175
- The paper
- Cao, J., & Voth, G. A. (1994). The formulation of quantum statistical mechanics based on the Feynman path centroid density. I. Equilibrium properties. The Journal of Chemical Physics. https://doi.org/10.1063/1.467175
Data sources
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.