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Magneto-thermal switching using superconducting metals and alloys [PDF]

Science and Technology of Advanced Materials
Superconductors exhibit low thermal conductivity (κ) due to the suppression of electronic thermal conduction in the superconducting states with Cooper pairs. This change in κ enables superconductors to function as magneto-thermal switches (MTS).
Hiroto Arima, Takumi Murakami, Poonam Rani, Yoshikazu Mizuguchi   +3 more
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Low-Vacuum Pyrolysis of YBCO Films by Using Fluorine-Free Metal Organic Chemical Deposition

Crystals, 2022
The preparation of YBCO superconducting films by using metal organic chemical deposition (MOD) involves low-temperature pyrolysis and high-temperature treatment. The former process generally requires the introduction of water vapor and other gases.
Zhao Yang, Chuanbing Cai, Ningdong Chu, Shuyun Tong, Yuming Lu, Zhiyong Liu   +5 more
doaj   +1 more source

Spatial Azimuthal Misalignment Characteristics of High-Temperature Superconducting Wireless Power Transmission Systems

Applied Sciences, 2023
Magnetically coupled resonant wireless power transmission technology (WPT) based on high-temperature superconducting (HTS) coils has gained wide popularity due to its low impedance and high-quality factor Q value characteristics.
Zhichao Yan, Tanyuan Zou, Mingyue Chen, Difan Zhou, Suchuan Zhao, Yanqun Guo, Chuanbing Cai   +6 more
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Effect of Chlorine Addition on Texture and Superconducting Performance of YBa₂Cu₃O_7−δ-Coated Conductors

Crystals, 2022
YBa2Cu3O7−δ (YBCO) thin films with the addition of Cl were prepared on Hastelloy tape by the extremely low fluorine metal-organic deposition (MOD) technique.
Mingyue Chen, Zhiyong Liu, Minjuan Li, Zhichao Yan, Rongtie Huang, Sida Qian, Jing Chen, Chuanbing Cai   +7 more
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Active Terahertz Modulator and Slow Light Metamaterial Devices with Hybrid Graphene–Superconductor Photonic Integrated Circuits

Nanomaterials, 2021
Metamaterial photonic integrated circuits with arrays of hybrid graphene–superconductor coupled split-ring resonators (SRR) capable of modulating and slowing down terahertz (THz) light are introduced and proposed.
Samane Kalhor, Stephen J. Kindness, Robert Wallis, Harvey E. Beere, Majid Ghanaatshoar, Riccardo Degl’Innocenti, Michael J. Kelly, Stephan Hofmann, Hannah J. Joyce, David A. Ritchie, Kaveh Delfanazari   +10 more
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A spin–orbit scattering–enhanced high upper critical field at the LaAlO3/KTaO3(111) superconducting interface

New Journal of Physics, 2023
Spin–orbit interaction is essential to enhance the in-plane upper critical field of two-dimensional superconductors. Here, we report the LaAlO _3 /KTaO _3 (111) superconducting interface ( T _c,0 ≈ 0.475 K) with a high in-plane upper critical field (∼1.6
Zitao Zhang, Weimin Jiang, Tingna Shao, Yujie Qiao, Xingyu Chen, Qiang Zhao, Meihui Chen, Ruifen Dou, Changmin Xiong, Jiacai Nie   +9 more
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Exploring the Interdependence between Electronically Unfavorable Situations and Pressure in a Chalcogenide Superconductor

Inorganics, 2023
The development of solids with the requested chemical and physical properties requires a thorough understanding of their electronic structures, as proper knowledge of the electronic structure of a given solid provides invaluable information regarding its
Kai S. Fries, Simon Steinberg
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Automatic extraction of materials and properties from superconductors scientific literature

Science and Technology of Advanced Materials: Methods, 2023
The automatic extraction of materials and related properties from the scientific literature is gaining attention in data-driven materials science (Materials Informatics).
Luca Foppiano, Pedro Baptista Castro, Pedro Ortiz Suarez, Kensei Terashima, Yoshihiko Takano, Masashi Ishii   +5 more
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Semi-automatic staging area for high-quality structured data extraction from scientific literature

Science and Technology of Advanced Materials: Methods, 2023
We propose a semi-automatic staging area for efficiently building an accurate database of experimental physical properties of superconductors from literature, called SuperCon2, to enrich the existing manually-built superconductor database SuperCon.
Luca Foppiano, Tomoya Mato, Kensei Terashima, Pedro Ortiz Suarez, Taku Tou, Chikako Sakai, Wei-Sheng Wang, Toshiyuki Amagasa, Yoshihiko Takano, Masashi Ishii   +9 more
doaj   +1 more source

Fe-based superconducting transition temperature modeling by machine learning: A computer science method.

PLoS ONE, 2021
Searching for new high temperature superconductors has long been a key research issue. Fe-based superconductors attract researchers' attention due to their high transition temperature, strong irreversibility field, and excellent crystallographic symmetry.
Zhiyuan Hu
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