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We present a new method for high-resolution nanoscale magnetic resonance imaging (nano-MRI) that combines the high spin sensitivity of nanowire-based magnetic resonance detection with high spectral resolution nuclear magnetic resonance…

Mesoscale and Nanoscale Physics · Physics 2018-03-07 William Rose , Holger Haas , Angela Q. Chen , Nari Jeon , Lincoln J. Lauhon , David G. Cory , Raffi Budakian

Smart sensors are an emerging technology that allows combining the data acquisition with the elaboration directly on the Edge device, very close to the sensors. To push this concept to the extreme, technology companies are proposing a new…

Signal Processing · Electrical Eng. & Systems 2024-08-01 Andrea Ronco , Lukas Schulthess , David Zehnder , Michele Magno

In this article we demonstrate the injection locking of recently demonstrated spintronic feedback nano oscillator to microwave magnetic fields at integers as well fractional multiples of its auto oscillation frequency. Feedback oscillators…

Mesoscale and Nanoscale Physics · Physics 2017-12-20 Hanuman Singh , K. Konishi , S. Bhuktare , A. Bose , S. Miwa , A. Fukushima , K. Yakushiji , S. Yuasa , H. Kubota , Y. Suzuki , A. A. Tulapurkar

We report progress toward a CMOS-integrated quantum diamond biosensing platform that combines nitrogen-vacancy (NV) centers in diamond with a custom 40 nm CMOS Single-Photon Avalanche Diode (SPAD) array. The system integrates on-chip active…

We calculate the efficiency with which magnetic tunnel junctions can be used as resonant detectors of incident microwave radiation via the spin-torque diode effect. The expression we derive is in good agreement with the sensitivities we…

Mesoscale and Nanoscale Physics · Physics 2015-05-13 C. Wang , Y. -T. Cui , J. Z. Sun , J. A. Katine , R. A. Buhrman , D. C. Ralph

Magnetic resonance detection is one of the most important tools used in life-sciences today. However, as the technique detects the magnetization of large ensembles of spins it is fundamentally limited in spatial resolution to mesoscopic…

One of the most exciting applications of Spin Torque Magnetoresistive Random Access Memory (ST-MRAM) is the in-memory implementation of deep neural networks, which could allow improving the energy efficiency of Artificial Intelligence by…

We demonstrate a synchronized readout (SR) technique for spectrally selective detection of oscillating magnetic fields with sub-millihertz resolution, using coherent manipulation of solid state spins. The SR technique is implemented in a…

Magnetic imaging with nitrogen-vacancy (NV) spins in diamond is becoming an established tool for studying nanoscale physics in condensed matter systems. However, the optical access required for NV spin readout remains an important hurdle…

Mesoscale and Nanoscale Physics · Physics 2023-05-26 Yufan Li , Fabian A. Gerritsma , Samer Kurdi , Nina Codreanu , Simon Gröblacher , Ronald Hanson , Richard Norte , Toeno van der Sar

Mutually coupled spin Hall nano-oscillators (SHNO) can exhibit binarized phase state, offering pathways to realize Ising machines and efficient neuromorphic hardware. Conventionally, phase binarization is achieved in coupled SHNOs via…

Mesoscale and Nanoscale Physics · Physics 2024-04-08 Sourabh Manna , Rohit Medwal , John Rex Mohan , Yasuhiro Fukuma , Rajdeep Singh Rawat

$Context.$ Core-collapse supernovae (CCSNe) are expected to emit gravitational wave signals that could be detected by current and future generation interferometers within the Milky Way and nearby galaxies. The stochastic nature of the…

Instrumentation and Methods for Astrophysics · Physics 2023-01-24 Alberto Iess , Elena Cuoco , Filip Morawski , Constantina Nicolaou , Ofer Lahav

Quantum sensing with nitrogen-vacancy (NV) centers in diamond promises to revolutionize biological research and medical diagnostics. Thanks to their high sensitivity, NV sensors could, in principle, detect specific binding events with…

We present artificial neural network design using spin devices that achieves ultra low voltage operation, low power consumption, high speed, and high integration density. We employ spin torque switched nano-magnets for modelling neuron and…

Disordered Systems and Neural Networks · Physics 2012-08-16 Mrigank Sharad , Charles Augustine , Georgios Panagopoulos , Kaushik Roy

We propose two-terminal devices for DNA sequencing which consist of a metallic graphene nanoribbon with zigzag edges (ZGNR) and a nanopore in its interior through which the DNA molecule is translocated. Using the nonequilibrium Green…

Mesoscale and Nanoscale Physics · Physics 2012-01-26 Kamal K. Saha , Marija Drndic , Branislav K. Nikolic

In this paper, we employ micromagnetic simulations to study non-adiabatic stochastic resonance (NASR) excited by spin-transfer torque in a super-paramagnetic free layer nanomagnet of a nanoscale spin valve. We find that NASR dynamics…

Computational Physics · Physics 2015-05-27 G. Finocchio , I. N. Krivorotov , X. Cheng , L. Torres , B. Azzerboni

Spintronic neurons which emit sharp voltage spikes are required for the realization of hardware neural networks enabling fast data processing with low-power consumption. In many neuroscience and computer science models, neurons are…

Disordered Systems and Neural Networks · Physics 2019-05-08 Rie Matsumoto , Steven Lequeux , Hiroshi Imamura , Julie Grollier

In this study, we present a novel platform based on scanning microwave microscopy for manipulating and detecting tiny vibrations of nanoelectromechanical resonators using a single metallic tip. The tip is placed on the top of a grounded…

Nuclear magnetic resonance spectroscopy with solid-state spin sensors is a promising pathway for the detection of nuclear spins at the micro- and nanoscale. Although many nanoscale experiments rely on a single sensor spin for the detection…

A combined bottom-up assembly of electrodeposited nanowires and electron beam lithography technique has been developed to investigate the spin transfer torque and microwave emission on specially designed nanowires containing a single…

Materials Science · Physics 2015-06-12 F. Abreu Araujo , L. Piraux , V. A. Antohe , V. Cros , L. Gence

Neuromorphic computing and, in particular, spiking neural networks (SNNs) have become an attractive alternative to deep neural networks for a broad range of signal processing applications, processing static and/or temporal inputs from…

Hardware Architecture · Computer Science 2023-12-05 Souvik Kundu , Rui-Jie Zhu , Akhilesh Jaiswal , Peter A. Beerel
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