Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 709

The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.

Cooling-rate effects in amorphous silica: A computer-simulation study

Open access
Vollmayr, Katharina, Kob, Walter, Binder, Kurt·1996·Physical Review B

Abstract

Using molecular-dynamics computer simulations we investigate how in silica the glass transition and the properties of the resulting glass depend on the cooling rate with which the sample is cooled. By coupling the system to a heat bath with temperature ${\mathit{T}}_{\mathit{b}}$(t), we cool the system linearly in time, ${\mathit{T}}_{\mathit{b}}$(t)=${\mathit{T}}_{\mathit{i}}$-\ensuremath{\gamma}t, where \ensuremath{\gamma} is the cooling rate. In qualitative accordance with experiments, the temperature dependence of the density shows a local maximum, which becomes more pronounced with decreasing cooling rate. We find that the glass transition temperature ${\mathit{T}}_{\mathit{g}}$ is in accordance with a logarithmic dependence on \ensuremath{\gamma}. The enthalpy, density, and thermal expansion coefficient for the glass at zero temperature decrease with decreasing \ensuremath{\gamma}. We show that also microscopic quantities, such as the radial distribution function, the bond-bond angle distribution function, the coordination numbers, and the distribution function for the size of the rings, depend significantly on \ensuremath{\gamma}. We demonstrate that the cooling-rate dependence of these microscopic quantities is significantly more pronounced than the one of macroscopic properties. Furthermore, we show that these microscopic quantities, as determined from our simulation, are in good agreement with the ones measured in real experiments, thus demonstrating that the used potential is a good model for silica glass. The vibrational spectrum of the system also shows a significant dependence on the cooling rate and is in qualitative accordance with the one found in experiments. Finally we investigate the properties of the system at finite temperatures in order to understand the microscopic mechanism for the density anomaly. We show that the anomaly is related to a densification and subsequent opening of the tetrahedral network when the temperature is decreased, whereas the distance between nearest neighbors, i.e., the size of the tetrahedra, does not change significantly. \textcopyright{} 1996 The American Physical Society.

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 · 10.1103/physrevb.54.15808

Cites

38 of 38 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 38 references

Cited by

See all 709

Metadata

Authors
Vollmayr, K., Kob, W., & Binder, K.
Venue
Physical Review B
Published
1996-12-01
Volume
54
Issue
22
Pages
15808-15827
ISSN
  • 0163-1829 (ISSN-L)
  • 1095-3795
OpenAlex
W2041932608
Cited by
709
References
38
FWCI
18.58
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: Cooling-rate effects in amorphous silica: A computer-simulation study. https://app.cochat.ai/papers/10.1103/physrevb.54.15808
The paper
Vollmayr, K., Kob, W., & Binder, K. (1996). Cooling-rate effects in amorphous silica: A computer-simulation study. Physical Review B. https://doi.org/10.1103/physrevb.54.15808

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.