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A combination of theoretical modelling and experiments reveals the origin of the large perpendicular magnetic anisotropy (PMA) that appears in nanometer-thick epitaxial Co films intercalated between graphene (Gr) and a heavy metal (HM)…

Magnetic switch with perpendicular magnetic anisotropy (PMA) is a promising method for controlling magnetization in several applications like magnetic tunnel junction and magnetic memory. However, incoherence happens during the switch…

Magnetic resonance imaging (MRI) is a non-invasive medical imaging technique offering high-resolution 3D images and valuable insights into human tissue conditions. Even at present, the refinement of denoising methods for MRI remains a…

Image and Video Processing · Electrical Eng. & Systems 2023-08-29 Shiao Li

Perpendicular magnetic anisotropy (PMA) is a key property of magnetoresistive random access memory (MRAM). To increase areal density of MRAM it is important to find a way to enhance the PMA. Recently a strong enhancement of the PMA by…

Materials Science · Physics 2023-03-22 Yukie Kitaoka , Hiroshi Imamura

Laminar flow velocity profiles depend heavily on fluid rheology. Developing methods of laminar flow characterization, based on low-field magnetic resonance (MR), contributes to the widespread industrial application of the MR technique in…

Microstrip patch antennas (MPAs) are rapidly gaining more attention due to the proliferation of communication devices and systems with frequencies becoming more suitable for the size and performance of this type of antenna. Due to recent…

Emerging Technologies · Computer Science 2017-09-05 A. F. Salami , O. S. Zakariyya , B. O. Sadiq , O. A. Abdulrahman

This article presents a fully 3D-printed wideband metasurface folded reflectarray antenna (MFRA) operating in the millimeter-wave n257 band. The proposed MFRA integrates a novel polarization-rotating reflective metasurface (RMS), a compact…

Signal Processing · Electrical Eng. & Systems 2026-03-19 Evangelos Vassos , Thomas Whittaker , Abdul Jabbar , Aakash Bansal , Will Whittow

Binary stochastic neurons (BSN's) form an integral part of many machine learning algorithms, motivating the development of hardware accelerators for this complex function. It has been recognized that hardware BSN's can be implemented using…

Emerging Technologies · Computer Science 2019-04-23 Orchi Hassan , Rafatul Faria , Kerem Y. Camsari , Jonathan Z. Sun , Supriyo Datta

It is well known that magnetic resonance imaging (MRI) at 7 Tesla (7T) and higher magnets can provide much better signal sensitivity compared with lower field strengths. However, variety of commercially available ultra-high-field MRI coils…

Medical Physics · Physics 2020-06-05 Akbar Alipour , Alan C Seifert , Bradley Delman , Gregor Adriany , Priti Balchandani

We present a magnet and high power electronics for Prepolarized Magnetic Resonance Imaging (PMRI) in a home-made, special-purpose preclinical system designed for simultaneous visualization of hard and soft biological tissues. PMRI boosts…

Permanent Magnet multipoles (PMM) are widely used in accelerators to either focus particle beams or confine plasma in ion sources. The real magnetic field created by PMM is calculated by magnetic field simulation software and then used in…

Accelerator Physics · Physics 2020-05-20 Thomas Thuillier , Thomas Andre , Jose-Antonio Mendez-Giono

We optimised the magnetic field homogeneity of two canonical designs for mobile microfluidic NMR applications: two parallel magnets with an air gap and a modified Halbach array. Along with the influence of the sample length, general design…

Applied Physics · Physics 2021-03-26 Yannick Klein , Leon Abelmann , Han Gardeniers

Movable antenna (MA) is a promising technology to exploit the spatial variation of wireless channel for performance enhancement, by dynamically varying the antenna position within a certain region. However, for multi-antenna communication…

Information Theory · Computer Science 2024-10-11 Haiquan Lu , Yong Zeng , Shi Jin , Rui Zhang

Magnetic Detection Electrical Impedance Tomography is a novel technique that could enable non-invasive imaging of fast neural activity in the brain. However, commercial magnetometers are not suited to its technical requirements.…

Medical Physics · Physics 2024-12-19 Kai Mason , Florencia Maurino-Alperovich , Kirill Aristovich , David Holder

Reconfigurable antenna technology, such as movable antennas (MAs) and rotatable antennas (RAs), has emerged as a promising solution to enhance the communication performance of wireless systems by exploiting the new degree of freedom (DoF)…

Signal Processing · Electrical Eng. & Systems 2026-04-07 Weijia Wang , Changsheng You , Xiaodan Shao , Rui Zhang

Magnetic Particle Imaging (MPI) is a highly sensitive imaging method that enables the visualization of magnetic tracer materials with a temporal resolution of more than 46 volumes per second. In MPI the size of the field of view scales with…

We report on our progress in the development of an atomic magnetometer (AM) based low-frequency magnetic particle imaging (MPI) scanner, expected to be free from Specific Absorption Rate (SAR) and Peripheral Nerve Stimulation (PNS)…

Instrumentation and Detectors · Physics 2017-01-16 Simone Colombo , Victor Lebedev , Alexey Tonyushkin , Zoran D. Grujic , Vladimir Dolgovskiy , Antoine Weis

Future wireless networks, deploying thousands of antenna elements, may operate in the radiative near-field (NF), enabling spatial multiplexing across both angle and range domains. Sparse arrays have the potential to achieve comparable…

Signal Processing · Electrical Eng. & Systems 2026-05-22 Ahmed Hussain , Asmaa Abdallah , Abdulkadir Celik , Emil Björnson , Ahmed M. Eltawil

Transition metal ferromagnetic films with perpendicular magnetic anisotropy (PMA) have ferromagnetic resonance (FMR) linewidths that are one order of magnitude larger than soft magnetic materials, such as pure iron (Fe) and permalloy (NiFe)…

Materials Science · Physics 2009-12-14 J-M. Beaujour , D. Ravelosona , I. Tudosa , E. Fullerton , A. D. Kent

Motivated by the Bagging Partial Least Squares (PLS) and Principal Component Analysis (PCA) algorithms, we propose a Principal Model Analysis (PMA) method in this paper. In the proposed PMA algorithm, the PCA and the PLS are combined. In…

Machine Learning · Computer Science 2019-02-08 Qiwei Xie , Liang Tang , Weifu Li , Vijay John , Yong Hu