Please use this identifier to cite or link to this item:
doi:10.22028/D291-36035
Title: | Superconductivity 2022 |
Author(s): | Koblischka, Michael Rudolf Koblischka-Veneva, Anjela |
Language: | English |
Year of Publication: | 2022 |
Free key words: | conventional superconductivity high pressure room-temperature superconductivity metal hydrides HEAs Matthias rules machine learning 2D superconductors topological superconductors nanostructures cables |
DDC notations: | 500 Science |
Publikation type: | Other |
Abstract: | Superconductivity in metals and alloys, i.e., conventional superconductivity, has seen many new developments in recent years, leading to a renewed interest in the principles of superconductivity and the search for new materials. The most striking discoveries include the near-room-temperature superconductivity in metal hydrides (LaH10) under pressure, the extreme stability of superconduc tivity in NbTi up to 261 GPa pressure, the discovery of high-entropy alloy (HEA) superconductor materials, and the machine learning prediction of new superconducting materials. Other interesting research concerns the properties of 2D superconductors, topological superconductors, e.g., in hybrid systems, and the use of nanotechnology to create nanowires and nanostructures with new properties. Furthermore, and most importantly, the drive from new accelerator and fusion reactors for stronger superconducting magnets has lead to improved cable materials, showing the highest critical current densities ever. Thus, this Special Issue aims to bring together a collection of papers reflecting the present activity in this field. |
DOI of the first publication: | 10.3390/met12040568 |
Link to this record: | urn:nbn:de:bsz:291--ds-360350 hdl:20.500.11880/32946 http://dx.doi.org/10.22028/D291-36035 |
ISSN: | 2075-4701 |
Date of registration: | 30-May-2022 |
Faculty: | NT - Naturwissenschaftlich- Technische Fakultät |
Department: | NT - Physik |
Professorship: | NT - Prof. Dr. Uwe Hartmann |
Collections: | SciDok - Der Wissenschaftsserver der Universität des Saarlandes |
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