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Enhancing thermoelectric output in a molecular heat engine utilizing Yu-Shiba-Rusinov bound states

Volosheniuk, Serhii; Bouwmeester, Damian; Vogel, David; Wegeberg, Christina; Hsu, Chunwei; Mayor, Marcel 1; Zant, Herre S. J. van der ; Gehring, Pascal
1 Institut für Nanotechnologie (INT), Karlsruher Institut für Technologie (KIT)

Abstract:

Particle exchange heat engines are a novel class of cyclic heat engines that are all-electrical, contain no moving parts and can therefore be scaled down to nanometer size. At the center of their operation is the manipulation of a particle flow between a hot and a cold reservoir through energy filtering mechanisms, where their efficiency depends primarily on the sharpness of the energy filter. In this study, we investigate the efficiency enhancement of such engines by utilizing ultra-sharp transmission resonances formed by magnetic impurities interacting with superconductors, known as Yu-Shiba-Rusinov bound states. To this end, we couple a neutral and stable diradical molecule to superconducting break-junction electrodes, and study its thermoelectric properties at ultra-low temperatures. By driving the molecular heat engine through a phase transition from a Kondo state into the Yu-Shiba-Rusinov regime, we observe a five fold increase in the thermoelectric power factor. This observation could pave the way for practical applications such as cryogenic waste heat recovery and efficient spot-cooling for future quantum computing architectures.


Verlagsausgabe §
DOI: 10.5445/IR/1000181515
Veröffentlicht am 12.05.2025
Originalveröffentlichung
DOI: 10.1038/s41467-025-58645-1
Scopus
Zitationen: 3
Web of Science
Zitationen: 5
Dimensions
Zitationen: 5
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Nanotechnologie (INT)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2025
Sprache Englisch
Identifikator ISSN: 2041-1723
KITopen-ID: 1000181515
HGF-Programm 43.32.01 (POF IV, LK 01) Molecular Materials Basis for Optics & Photonics
Erschienen in Nature Communications
Verlag Nature Research
Band 16
Heft 1
Seiten 3279
Vorab online veröffentlicht am 06.04.2025
Nachgewiesen in OpenAlex
Dimensions
Scopus
Web of Science
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