Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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Materials Map under construction

The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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European Commission

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (5/5 displayed)

  • 2023Superconducting Spintronic Heat Enginecitations
  • 2022Superconducting spintronic tunnel diode52citations
  • 2022Superconducting spintronic tunnel diode52citations
  • 2019Vectorial Control of the Spin–Orbit Interaction in Suspended InAs Nanowires49citations
  • 2017Role of magnetic domains in superconducting tunneling spectroscopy of EuS/Al bilayerscitations

Places of action

Chart of shared publication
Giazotto, Francesco
1 / 8 shared
Virtanen, Pauli
2 / 7 shared
Rogero, Celia
2 / 15 shared
Heikkilä, Tero T.
2 / 5 shared
González-Orellana, Carmen
2 / 6 shared
Ilyn, Maxim
3 / 8 shared
Araujo, Clodoaldo I. L. De
1 / 2 shared
Kerschbaumer, Samuel
1 / 3 shared
Spies, Maria
1 / 4 shared
Virtanen, P.
1 / 2 shared
Rouco, M.
1 / 1 shared
González Orellana, Carmen
1 / 2 shared
Spies, M.
2 / 10 shared
Heikkilä, T. T.
1 / 2 shared
Moodera, J. S.
3 / 3 shared
Rogero Blanco, Celia
1 / 1 shared
Ligato, N.
1 / 1 shared
Ilic, Stefan
1 / 3 shared
Giazotto, F.
4 / 7 shared
Bergeret Sbarbaro, F. Sebastian
1 / 1 shared
Rouco, Mikel
1 / 3 shared
Bergeret, F. S.
2 / 9 shared
Ilić, Stefan
1 / 2 shared
Ligato, Nadia
1 / 3 shared
Zannier, V.
1 / 2 shared
Sorba, L.
1 / 9 shared
Carrega, M.
1 / 1 shared
Iorio, A.
1 / 1 shared
Roddaro, S.
1 / 5 shared
Rocci, M.
1 / 3 shared
Bours, L.
1 / 1 shared
Simoni, Giorgio De
1 / 2 shared
Golovach, V. N.
1 / 2 shared
Chart of publication period
2023
2022
2019
2017

Co-Authors (by relevance)

  • Giazotto, Francesco
  • Virtanen, Pauli
  • Rogero, Celia
  • Heikkilä, Tero T.
  • González-Orellana, Carmen
  • Ilyn, Maxim
  • Araujo, Clodoaldo I. L. De
  • Kerschbaumer, Samuel
  • Spies, Maria
  • Virtanen, P.
  • Rouco, M.
  • González Orellana, Carmen
  • Spies, M.
  • Heikkilä, T. T.
  • Moodera, J. S.
  • Rogero Blanco, Celia
  • Ligato, N.
  • Ilic, Stefan
  • Giazotto, F.
  • Bergeret Sbarbaro, F. Sebastian
  • Rouco, Mikel
  • Bergeret, F. S.
  • Ilić, Stefan
  • Ligato, Nadia
  • Zannier, V.
  • Sorba, L.
  • Carrega, M.
  • Iorio, A.
  • Roddaro, S.
  • Rocci, M.
  • Bours, L.
  • Simoni, Giorgio De
  • Golovach, V. N.
OrganizationsLocationPeople

article

Superconducting Spintronic Heat Engine

  • Giazotto, Francesco
  • Virtanen, Pauli
  • Rogero, Celia
  • Heikkilä, Tero T.
  • González-Orellana, Carmen
  • Ilyn, Maxim
  • Araujo, Clodoaldo I. L. De
  • Kerschbaumer, Samuel
  • Strambini, E.
  • Spies, Maria
Abstract

Heat engines are key devices that convert thermal energy into usable energy. Strong thermoelectricity, at the basis of electrical heat engines, is present in superconducting spin tunnel barriers at cryogenic temperatures where conventional semiconducting or metallic technologies cease to work. Here we realize a superconducting spintronic heat engine consisting of a ferromagnetic insulator/superconductor/insulator/ferromagnet tunnel junction (EuS/Al/AlO$_x$/Co). The efficiency of the engine is quantified for bath temperatures ranging from 25 mK up to 800 mK, and at different load resistances. Moreover, we show that the sign of the generated thermoelectric voltage can be inverted according to the parallel or anti-parallel orientation of the two ferromagnetic layers, EuS and Co. This realizes a thermoelectric spin valve controlling the sign and strength of the Seebeck coefficient, thereby implementing a thermoelectric memory cell. We propose a theoretical model that allows describing the experimental data and predicts the engine efficiency for different device parameters.

Topics
  • impedance spectroscopy
  • strength