Wireless magneto-ionics: voltage control of magnetism by bipolar electrochemistry
Zheng Ma,
Laura Fuentes-Rodriguez,
Zhengwei Tan,
Eva Pellicer,
Llibertat Abad,
Javier Herrero-Martín,
Enric Menéndez (),
Nieves Casañ-Pastor () and
Jordi Sort ()
Additional contact information
Zheng Ma: Universitat Autònoma de Barcelona
Laura Fuentes-Rodriguez: Institut de Ciència de Materials de Barcelona, CSIC, Campus UAB
Zhengwei Tan: Universitat Autònoma de Barcelona
Eva Pellicer: Universitat Autònoma de Barcelona
Llibertat Abad: Institut de Microelectrònica de Barcelona-Centre Nacional de Microelectrònica, CSIC, Campus UAB
Javier Herrero-Martín: ALBA Synchrotron Light Source
Enric Menéndez: Universitat Autònoma de Barcelona
Nieves Casañ-Pastor: Institut de Ciència de Materials de Barcelona, CSIC, Campus UAB
Jordi Sort: Universitat Autònoma de Barcelona
Nature Communications, 2023, vol. 14, issue 1, 1-10
Abstract:
Abstract Modulation of magnetic properties through voltage-driven ion motion and redox processes, i.e., magneto-ionics, is a unique approach to control magnetism with electric field for low-power memory and spintronic applications. So far, magneto-ionics has been achieved through direct electrical connections to the actuated material. Here we evidence that an alternative way to reach such control exists in a wireless manner. Induced polarization in the conducting material immersed in the electrolyte, without direct wire contact, promotes wireless bipolar electrochemistry, an alternative pathway to achieve voltage-driven control of magnetism based on the same electrochemical processes involved in direct-contact magneto-ionics. A significant tunability of magnetization is accomplished for cobalt nitride thin films, including transitions between paramagnetic and ferromagnetic states. Such effects can be either volatile or non-volatile depending on the electrochemical cell configuration. These results represent a fundamental breakthrough that may inspire future device designs for applications in bioelectronics, catalysis, neuromorphic computing, or wireless communications.
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-42206-5
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DOI: 10.1038/s41467-023-42206-5
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