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Cited by 287

The DOI matches its Crossref record; 107 of the 107 references it cites were found in a registry or an index.

Vortices in high-performance high-temperature superconductors

Kwok, Wai-Kwong, Welp, Ulrich, Glatz, Andreas, Koshelev, Alexei E, Kihlstrom, Karen J, Crabtree, George W·2016·Reports on Progress in Physics

Abstract

The behavior of vortex matter in high-temperature superconductors (HTS) controls the entire electromagnetic response of the material, including its current carrying capacity. Here, we review the basic concepts of vortex pinning and its application to a complex mixed pinning landscape to enhance the critical current and to reduce its anisotropy. We focus on recent scientific advances that have resulted in large enhancements of the in-field critical current in state-of-the-art second generation (2G) YBCO coated conductors and on the prospect of an isotropic, high-critical current superconductor in the iron-based superconductors. Lastly, we discuss an emerging new paradigm of critical current by design-a drive to achieve a quantitative correlation between the observed critical current density and mesoscale mixed pinning landscapes by using realistic input parameters in an innovative and powerful large-scale time dependent Ginzburg-Landau approach to simulating vortex dynamics.

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Metadata

Authors
Kwok, W.-K., Welp, U., Glatz, A., Koshelev, A. E., Kihlstrom, K. J., & Crabtree, G. W.
Venue
Reports on Progress in Physics
Published
2016-09-21
Volume
79
Issue
11
Pages
116501
ISSN
  • 0034-4885 (ISSN-L)
  • 1361-6633
OpenAlex
W2523033353
Cited by
287
References
107
FWCI
10.18
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Vortices in high-performance high-temperature superconductors. https://app.cochat.ai/papers/10.1088/0034-4885/79/11/116501
The paper
Kwok, W.-K., Welp, U., Glatz, A., Koshelev, A. E., Kihlstrom, K. J., & Crabtree, G. W. (2016). Vortices in high-performance high-temperature superconductors. Reports on Progress in Physics. https://doi.org/10.1088/0034-4885/79/11/116501

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.