Synopsis of Special Issue on Superconductors and Magnetic Materials

This editorial consists of a synopsis of the research in the Special Issue on “Superconductors and Magnetic Materials”, specifying the studies and highlighting main results and conclusions. This collection of research (1) demonstrates the possibility of notably decreasing AC losses by replacing the copper encapsulation of rare Earth barium copper oxide tapes with strong magnetic encapsulation; (2) predicts typical gains expected from soft-magnet and superconductor flux concentrators for low magnetic field sensing; (3) reveals that the n-value surfaces of high-Tc tapes can be estimated with a high accuracy using feed-forward deep neural network learning; (4) predicts the detection of a monopole plasma phase in high-Tc iron-based superconductors with a Tc above 70 K; and (5) proposes an analytical model to accurately predict the gap-to-Tc ratio for yttrium hydrides at high pressures.

Authors

Institutions

Publication Details

Journal
Crystals
Published
2026-03-09
DOI
https://doi.org/10.3390/cryst16030180
Primary Topic
Physics of Superconductivity and Magnetism
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Synopsis of Special Issue on Superconductors and Magnetic Materials

A. Almeida Costa, E. Rodríguez, João F. P. Fernandes
Crystals
Physics of Superconductivity and Magnetism
article

Synopsis of Special Issue on Superconductors and Magnetic Materials

A. Almeida Costa, E. Rodríguez, João F. P. Fernandes
article en

Abstract

This editorial consists of a synopsis of the research in the Special Issue on “Superconductors and Magnetic Materials”, specifying the studies and highlighting main results and conclusions. This collection of research (1) demonstrates the possibility of notably decreasing AC losses by replacing the copper encapsulation of rare Earth barium copper oxide tapes with strong magnetic encapsulation; (2) predicts typical gains expected from soft-magnet and superconductor flux concentrators for low magnetic field sensing; (3) reveals that the n-value surfaces of high-Tc tapes can be estimated with a high accuracy using feed-forward deep neural network learning; (4) predicts the detection of a monopole plasma phase in high-Tc iron-based superconductors with a Tc above 70 K; and (5) proposes an analytical model to accurately predict the gap-to-Tc ratio for yttrium hydrides at high pressures.

CrystalsVol. 16(3)
Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento (PT), Universidade Federal do Rio de Janeiro (BR), Universidade Politécnica de Lisboa (PT), National Laboratory for Civil Engineering (PT)
Fundação para a Ciência e a Tecnologia
Openalex Percentile: Top 28%
Physics of Superconductivity and Magnetism
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Synopsis of Special Issue on Superconductors and Magnetic Materials — A. Almeida Costa, E. Rodríguez, et al. · Crystals (2026) | TGRS Research Map | TGRS