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Ferrimagnetic insulators with ultralow damping are of great interest for their potential applications in energy-efficient computing devices. Here, we report the direct electrical detection of magnetic auto-oscillations in unpatterned ultralow damping ferrimagnetic insulator epitaxial LiAlFeO thin films, driven by a current in a proximal Pt nanowire. Auto-oscillations occur for only one current polarity, consistent with the spin-Hall effect inducing the oscillation state. Micromagnetic modeling shows good agreement with the experimental frequency and field dispersions, showing only one dominant oscillation mode, in contrast to the multiple modes typically observed in transition-metal nanowire-type spin-Hall nanooscillators. This study illustrates a new material system for neuromorphic computing and magnonics, a simple material platform with the direct-current generation of high-frequency (∼10 GHz) signals and their electrical detection.
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http://dx.doi.org/10.1021/acs.nanolett.4c06305 | DOI Listing |
Phys Chem Chem Phys
September 2025
School of Electrical and Automation Engineering, Suzhou University of Technology, Suzhou, 215506, China.
A flexible bipolarization conversion metasurface based on graphene is proposed in this paper, which can achieve single-band linear-to-linear (LTL) and dual-band linear-to-circular (LTC) polarization conversion. The polarization conversion ratio (PCR) and axial ratio (AR) are dynamically regulated by varying the sheet resistance () of graphene. When = 1400 Ω Sq, the designed metasurface achieves a single-band LTL polarization conversion of 7.
View Article and Find Full Text PDFCirc Arrhythm Electrophysiol
September 2025
Department of Congenital Heart Disease, Evelina London Children's Hospital, United Kingdom (S. Chivers, T.V., V.Z., S.M., G.M., W.R., E.R., D.F.A.L., T.G.D., O.I.M., G.K.S., J.M.S.).
Background: Fetal tachycardias can cause adverse fetal outcomes including ventricular dysfunction, hydrops, and fetal demise. Postnatally, ECG is the gold standard, but, in fetal practice, echocardiography is used most frequently to diagnose and monitor fetal arrhythmias. Noninvasive extraction of the fetal ECG (fECG) may provide additional information about the electrophysiological mechanism and monitoring of intermittent arrhythmias.
View Article and Find Full Text PDFJ Foot Ankle Res
September 2025
Department of Exercise Sciences, Brigham Young University, Provo, Utah, USA.
Introduction: Intrinsic foot muscles and the plantar fascia are crucial for foot health, which diminishes with age and conditions such as chronic plantar fasciitis (PF). Ultrasound (US) is an accessible and cost-effective method for evaluating these structures. This study aims to assess the repeatability, reliability, and validity of plantar fascia thickness and flexor digitorum brevis (FDB) muscle measurements using US compared with MRI in individuals with and without PF.
View Article and Find Full Text PDFJ Orthop Res
September 2025
Department of Kinesiology, College of Health Sciences, University of Rhode Island, Kingston, Rhode Island, USA.
Arthroplasty surgery is a common and successful end-stage intervention for advanced osteoarthritis. Yet, postoperative outcomes vary significantly among patients, leading to a plethora of measures and associated measurement approaches to monitor patient outcomes. Traditional approaches rely heavily on patient-reported outcome measures (PROMs), which are widely used, but often lack sensitivity to detect function changes (e.
View Article and Find Full Text PDFBehav Res Methods
September 2025
Czech Technical University in Prague, Faculty of Electrical Engineering, Department of Cybernetics, Prague, Czech Republic.
Automatic markerless estimation of infant posture and motion from ordinary videos carries great potential for movement studies "in the wild", facilitating understanding of motor development and massively increasing the chances of early diagnosis of disorders. There has been a rapid development of human pose estimation methods in computer vision, thanks to advances in deep learning and machine learning. However, these methods are trained on datasets that feature adults in different contexts.
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