Abstract
Compact wireless light sources are a fundamental building block for applications ranging from wireless displays to optical implants. However, their realization remains challenging because of constraints in miniaturization and the integration of power harvesting and light-emission technologies. Here, we introduce a strategy for a compact wirelessly powered light-source that consists of a magnetoelectric transducer serving as power source and substrate and an antiparallel pair of custom-designed organic light-emitting diodes. The devices operate at low-frequency ac magnetic fields (~100 kHz), which has the added benefit of allowing operation multiple centimeters deep inside watery environments. By tuning the device resonance frequency, it is possible to separately address multiple devices, e.g., to produce light of distinct colors, to address individual display pixels, or for clustered operation. By simultaneously offering small size, individual addressing, and compatibility with challenging environments, our devices pave the way for a multitude of applications in wireless displays, deep tissue treatment, sensing, and imaging.
Original language | English |
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Number of pages | 9 |
Journal | Science Advances |
Volume | 10 |
Issue number | 10 |
Early online date | 6 Mar 2024 |
DOIs | |
Publication status | E-pub ahead of print - 6 Mar 2024 |
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Dive into the research topics of 'Wireless magnetoelectrically powered organic light-emitting diodes'. Together they form a unique fingerprint.Datasets
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Wireless Magnetoelectrically Powered Organic Light Emitting Diodes (Thesis data)
Butscher, J. F. (Creator) & Gather, M. C. (Creator), University of St Andrews, 17 May 2026
DOI: 10.17630/bf77267d-9262-46d8-86d1-b024aef5d69c, https://doi.org/10.17630/sta/916
Dataset: Thesis dataset
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Wireless Magnetoelectrically Powered Organic Light-Emitting Diodes (dataset)
Butscher, J. F. (Creator), Hillebrandt, S. (Creator), Mischok, A. (Creator), Popczyk, A. (Creator), Booth, J. R. H. (Creator) & Gather, M. C. (Creator), University of St Andrews, 15 Feb 2024
DOI: 10.17630/33d5a972-62bd-4c17-809f-a90b4a8e6ec2
Dataset
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