Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 276

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

Nanostructured high-temperature superconductors: Creation of strong-pinning columnar defects in nanorod/superconductor composites

Yang, Peidong, Lieber, Charles M.·1997·Journal of Materials Research

Abstract

A chemical approach to the formation of columnar defects involving the growth and incorporation of MgO nanorods into high temperature superconductors (HTS's) has been developed. MgO nanorods were incorporated into Bi 2 Sr 2 CaCu 2 Oz, Bi 2 Sr 2 Ca 2 Cu 3 Oz, and Tl 2 Ba 2 Ca 2 Cu 3 Oz superconductors at areal densities up to 2 × 10 10/cm 2. Microstructural analyses of the composites demonstrate that the MgO nanorods create a columnar defect structure in the HTS matrices, form a compositionally sharp interface with the matrix, and self-organize into orientations perpendicular and parallel to the copper oxide planes. Measurements of the critical current density demonstrate significant enhancements in the MgO nanorod/HTS composites at elevated temperatures and magnetic fields compared with reference samples.

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 · 10.1557/jmr.1997.0393

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

Cited by

See all 276

Metadata

Authors
Yang, P., & Lieber, C. M.
Venue
Journal of Materials Research
Published
1997-11
Volume
12
Issue
11
Pages
2981-2996
ISSN
  • 0884-1616 (ISSN-L)
  • 0884-2914
  • 2044-5326
OpenAlex
W2135177484
Cited by
276
References
2
FWCI
3.09
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: Nanostructured high-temperature superconductors: Creation of strong-pinning columnar defects in nanorod/superconductor composites. https://app.cochat.ai/papers/10.1557/jmr.1997.0393
The paper
Yang, P., & Lieber, C. M. (1997). Nanostructured high-temperature superconductors: Creation of strong-pinning columnar defects in nanorod/superconductor composites. Journal of Materials Research. https://doi.org/10.1557/jmr.1997.0393

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.