Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 1,117

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Configurational bias Monte Carlo: a new sampling scheme for flexible chains

Open access
Siepmann, Jörn Ilja, Frenkel, Daan·1992·Molecular Physics

Abstract

We propose a novel approach that allows efficient numerical simulation of systems consisting of flexible chain molecules. The method is especially suitable for the numerical simulation of dense chain systems and monolayers. A new type of Monte Carlo move is introduced that makes it possible to carry out large scale conformational changes of the chain molecule in a single trial move. Our scheme is based on the selfavoiding random walk algorithm of Rosenbluth and Rosenbluth. As an illustration, we compare the results of a calculation of mean-square end to end lengths for single chains on a two-dimensional square lattice with corresponding data gained from other simulations.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1080/00268979200100061

Cites

2 of 2 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

Cites

Show all 2 references

Cited by

See all 1,117

Metadata

Authors
Siepmann, J. I., & Frenkel, D.
Venue
Molecular Physics
Published
1992-01
Volume
75
Issue
1
Pages
59-70
ISSN
  • 0026-8976 (ISSN-L)
  • 1362-3028
OpenAlex
W2003670327
Cited by
1,117
References
2
FWCI
17.62
Type
journal article
Language
en
Open access
green

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: Configurational bias Monte Carlo: a new sampling scheme for flexible chains. https://app.cochat.ai/papers/10.1080/00268979200100061
The paper
Siepmann, J. I., & Frenkel, D. (1992). Configurational bias Monte Carlo: a new sampling scheme for flexible chains. Molecular Physics. https://doi.org/10.1080/00268979200100061

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.