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In this work, we present a comprehensive and comparative analysis of two detection modalities, i.e., polarization rotation and absorption measurement of light, for a double resonance alignment based optical magnetometer (DRAM). We derive…

Optics · Physics 2024-03-11 A. Akbar , M. Kozbiál , L. Elson , A. Meraki , J. Kolodyński , K. Jensen

We demonstrate efficient current induced spin orbit torque switching in perpendicularly magnetized epitaxial MgO(001)//Pd/Co2FeAl/MgO heterostructures grown by magnetron sputtering. The advantage of such heterostructures for spin orbit…

Mesoscale and Nanoscale Physics · Physics 2020-05-27 M. S. Gabor , T. Petrisor , M. Nasui , M. A. Nsibi , J. Nath , I. M. Miron

Spin-orbit torque provides an efficient pathway to manipulate the magnetic state and magnetization dynamics of magnetic materials, which is crucial for energy-efficient operation of a variety of spintronic devices such as magnetic memory,…

Mesoscale and Nanoscale Physics · Physics 2021-02-24 Hang Xie , Xin Chen , Ziyan Luo , Yihong Wu

We present a method for efficient spectral readout of mechanical resonator arrays in dissipative environments. Magnetomotive drive and detection is used to drive double clamped resonators in the nonlinear regime. Resonators with almost…

Instrumentation and Detectors · Physics 2009-08-25 W. J. Venstra , H. S. J. van der Zant

A new mechanism of low frequency (1/f-like) noise generation is described and analyzed. It is attributed to higher frequency asymmetric resonance modes, which are stimulated by a random factor, e.g. due to thermal excitation.…

Applied Physics · Physics 2018-06-08 Andrzej Stankiewicz

The prediction and realization of magnetic excitations driven by electrical currents via the spin transfer torque effect, enables novel magnetic nano-devices where spin-waves can be used to process and store information. The functional…

Mesoscale and Nanoscale Physics · Physics 2016-08-09 S. Bonetti , R. Kukreja , Z. Chen , F. Macià , J. M. Hernàndez , A. Eklund , D. Backes , J. Frisch , J. Katine , G. Malm , S. Urazhdin , A. D. Kent , J. Stöhr , H. Ohldag , H. A. Dürr

The ability of spintronic devices to utilize an electric current for manipulating the magnetization has resulted in large-scale developments, such as, magnetic random access memories and boosted the spintronic research area. In this regard,…

Mesoscale and Nanoscale Physics · Physics 2018-08-22 Rajagopalan Ramaswamy , Jong Min Lee , Kaiming Cai , Hyunsoo Yang

Neuromorphic computing, inspired by the brain's parallel and energy-efficient processing, offers a transformative approach to artificial intelligence. In this study, we fabricated optimized spin-transfer torque nano-oscillators (STNOs) and…

Spintronic devices have recently attracted a lot of attention in the field of unconventional computing due to their non-volatility for short and long term memory, non-linear fast response and relatively small footprint. Here we report how…

We theoretically consider the temporal dynamics of two coupled spin qubits (e.g., semiconductor quantum dots) driven by the inter-qubit spin-spin coupling. The presence of environmental noise (e.g., charge traps, nuclear spins, random…

Mesoscale and Nanoscale Physics · Physics 2016-07-29 S. Das Sarma , Robert E. Throckmorton , Yang-Le Wu

We experimentally demonstrate a proof-of-principle implementation of an almost ideal memristor - a two-terminal circuit element whose resistance is approximately proportional to the integral of the input signal over time. The demonstrated…

Materials Science · Physics 2022-07-06 Sergei Ivanov , Sergei Urazhdin

We report the use of spin-orbit torque (SOT) magnetoresistive random-access memory (MRAM) to implement a probabilistic binary neural network (PBNN) for resource-saving applications. The in-plane magnetized SOT (i-SOT) MRAM not only enables…

We investigate the dynamics of two coupled vortices driven by spin transfer. We are able to independently control with current and perpendicular field, and to detect, the respective chiralities and polarities of the two vortices. For…

Materials Science · Physics 2015-05-18 N. Locatelli , V. V. Naletov , J. Grollier , G. de Loubens , V. Cros , C. Deranlot , C. Ulysse , G. Faini , O. Klein , A. Fert

We propose a time-delay oscillator with Mackey-Glass nonlinearity based on a pinned magnetic domain wall in a thin film nanostrip. Through spin transfer torques, electric currents applied along the strip cause the domain wall to deform and…

Mesoscale and Nanoscale Physics · Physics 2021-04-19 Jérôme Williame , Joo-Von Kim

We present a new way of continuously reading-out the state of a single electronic spin. Our detection scheme is based on an exchange interaction between the electronic spin and a nearby read-out quantum dot. The coupling between the two…

Mesoscale and Nanoscale Physics · Physics 2017-11-21 Clément Godfrin , Stefan Thiele , Karim Ferhat , Svetlana Klyatskaya , Mario Ruben , Wolfgang Wernsdorfer , Franck Balestro

A mutual synchronization of spin-torque oscillators coupled through current injection is studied theoretically. Models of electrical coupling in parallel and series circuits are proposed. Solving the Landau-Lifshitz-Gilbert equation,…

Mesoscale and Nanoscale Physics · Physics 2017-12-14 Tomohiro Taniguchi , Sumito Tsunegi , Hitoshi Kubota

The ever-increasing amount of data from ubiquitous smart devices fosters data-centric and cognitive algorithms. Traditional digital computer systems have separate logic and memory units, resulting in a huge delay and energy cost for…

Applied Physics · Physics 2025-03-17 Qiming Shao , Zhongrui Wang , Yan Zhou , Shunsuke Fukami , Damien Querlioz , Leon O. Chua

Impact of spin transfer torque (STT) on the write error rate of a voltage-torque-based magnetoresistive random access memory is theoretically analyzed by using the macrospin model. During the voltage pulse the STT assists or suppresses the…

Mesoscale and Nanoscale Physics · Physics 2019-06-04 Hiroshi Imamura , Rie Matsumoto

The nonlinear response of an optical microresonator is used in a time multiplexed reservoir computing neural network. Within a virtual node approach combined with an offline training through ridge regression, we solved linear and nonlinear…

Emerging Technologies · Computer Science 2024-06-21 Davide Bazzanella , Stefano Biasi , Mattia Mancinelli , Lorenzo Pavesi

Spin-orbit coupling in inversion-asymmetric magnetic crystals and structures has emerged as a powerful tool to generate complex magnetic textures, interconvert charge and spin under applied current, and control magnetization dynamics.…

Mesoscale and Nanoscale Physics · Physics 2019-10-02 A. Manchon , J. Zelezný , I. M. Miron , T. Jungwirth , J. Sinova , A. Thiaville , K. Garello , P. Gambardella
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