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SKM 2023 – wissenschaftliches Programm

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MA: Fachverband Magnetismus

MA 49: Magnetic Information Technology, Recording, Sensing

MA 49.8: Vortrag

Freitag, 31. März 2023, 11:30–11:45, HSZ 403

Self-healable printed magnetic field sensors using alternating magnetic fields — •Rui Xu1, Gilbert Santiago Cañón Bermúdez1, Oleksandr V. Pylypovskyi1, Oleksii M. Volkov1, Eduardo Sergio Oliveros Mata1, Yevhen Zabila1, Rico Illing1, Pavlo Makushko1, Pavel Milkin2, Leonid Ionov2, Jürgen Fassbender1, and Denys Makarov11Helmholtz-Zentrum Dresden-Rossendorf, Dresden, Germany — 2University of Bayreuth, Ludwig Thoma Str 36a, 95447 Bayreuth, Germany

Percolation network of fillers plays a critical role in rendering printable electronics functionality and durability1. We employ alternating magnetic fields (AMF) to drive magnetic fillers actively and guide the formation and self-healing of percolation networks2. Relying on AMF, we fabricate printable magnetoresistive sensors revealing an enhancement in sensitivity and figure of merit of more than one and two orders of magnitude relative to previous reports. These sensors display low noise, high resolution, and are readily processable using various printing techniques that can be applied to different substrates. The AMF-mediated self-healing has six characteristics: 100% performance recovery; repeatable healing over multiple cycles; room-temperature operation; healing in seconds; no need for manual reassembly; humidity insensitivity. By virtue of these advantages, the AMF-mediated sensors are used in safety application, medical therapy, and human-machine interfaces for augmented reality. 1 Nat. Electron. 2, 144-150 (2019); 2 Nat. Commun. 13, 6587 (2022).

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