Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 816

The DOI matches its Crossref record.

Direct evaluation of the electron density correlation function of partially crystalline polymers

Strobl, G. R., Schneider, M.·1980·Journal of Polymer Science: Polymer Physics Edition

Abstract

A discussion of the general properties of the one‐dimensional electron density correlation function K(z) of a partially crystalline polymer with lamellar structure shows that application of a graphical extrapolation procedure permits direct determination of the crystallinity, the specific inner surface, and the electron density difference ηc − ηa. The procedure is based upon the occurrence of a straight section in the “self‐correlation” range of K(z). Curved and nonparallel lamellae do not invalidate the concept. In the case of heterogeneous samples composed of partially crystalline and totally amorphous regions, some of the parameters of the experimentally obtained correlation function, as for example the invariant K(0), are affected and may lose their definiteness. Use of the method is demonstrated in a detailed discussion of the correlation functions measured for a sample of lowdensity polyethylene at 25 and 100°C.

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 · 10.1002/pol.1980.180180614

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.

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

Cited by

See all 816

Metadata

Authors
Strobl, G. R., & Schneider, M.
Venue
Journal of Polymer Science: Polymer Physics Edition
Publisher
Wiley
Published
1980-06
Volume
18
Issue
6
Pages
1343-1359
ISSN
  • 0098-1273 (ISSN-L)
  • 1542-9385
OpenAlex
W2018429840
Cited by
816
References
0
FWCI
4.13
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: Direct evaluation of the electron density correlation function of partially crystalline polymers. https://app.cochat.ai/papers/10.1002/pol.1980.180180614
The paper
Strobl, G. R., & Schneider, M. (1980). Direct evaluation of the electron density correlation function of partially crystalline polymers. Journal of Polymer Science: Polymer Physics Edition. https://doi.org/10.1002/pol.1980.180180614

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.