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Josephson junctions with three or more superconducting leads have been predicted to exhibit topological effects in the presence of few conducting modes within the interstitial normal material. Such behavior, of relevance for…

Mesoscale and Nanoscale Physics · Physics 2020-02-25 Gino V. Graziano , Joon Sue Lee , Mihir Pendharkar , Chris Palmstrøm , Vlad S. Pribiag

Present information and communication technologies are largely based on electronic devices, which suffer from heat generation and high power consumption. Alternatives like spintronics and magnonics, which harness the spin degree of freedom,…

Neuromorphic computing with spintronic devices has been of interest due to the limitations of CMOS-driven von Neumann computing. Domain wall-magnetic tunnel junction (DW-MTJ) devices have been shown to be able to intrinsically capture…

Mesoscale and Nanoscale Physics · Physics 2021-05-05 Samuel Liu , Christopher H. Bennett , Joseph S. Friedman , Matthew J. Marinella , David Paydarfar , Jean Anne C. Incorvia

Event-based neuromorphic systems provide a low-power solution by using artificial neurons and synapses to process data asynchronously in the form of spikes. Ferroelectric Tunnel Junctions (FTJs) are ultra low-power memory devices and are…

Magnetic Tunnel Junctions (MTJs) are of great interest for non-conventional computing applications. The Toffoli gate is a universal reversible logic gate, enabling the construction of arbitrary boolean circuits. Here, we present a…

High impedance (about 1 Megaohm) magnetic tunnel junctions (MTJs) are used to observe and record the magnetodynamics of the nanomagnets that form the junctions themselves. To counteract the bandwidth limitations caused by the high impedance…

Mesoscale and Nanoscale Physics · Physics 2018-09-21 Jason Dark , Hanbin Ying , Grant Nunn , John D. Cressler , Dragomir Davidovic

Significant scientific and technological progress in the field of spintronics is based on trilayer magnetic tunnel junction devices which principally rely on the physics of single barrier tunneling. While technologically relevant devices…

Mesoscale and Nanoscale Physics · Physics 2019-11-14 Abhishek Sharma , Ashwin. A. Tulapurkar , Bhaskaran Muralidharan

We present a magnetic tunnel junction (MTJ) where its two ferromagnetic layers are in the form of a single ellipse (SE) and two-crossing ellipses (TCE). The MTJ exhibits four distinct resistance states corresponding to the four remanent…

Applied Physics · Physics 2020-08-21 Shubhankar Das , Ariel Zaig , Moty Schultz , Susana Cardoso , Diana C Leitao , Lior Klein

Since it is undesirable to require an external magnetic field for on-chip memory applications, we investigate the use of a Rashba effective field alternatively for assisting the electric-field-induced switching operation of a three terminal…

Mesoscale and Nanoscale Physics · Physics 2018-08-01 Jiefang Deng , Xuanyao Fong , Gengchiau Liang

The continuous development of superconducting electronics is encouraging several studies on hybrid Josephson junctions (JJs) based on superconductor/ferromagnet/superconductor (SFS) heterostructures, as either spintronic devices or…

Superconductivity · Physics 2020-01-20 H. G. Ahmad , R. Caruso , A. Pal , G. Rotoli , G. P. Pepe , M. G. Blamire , F. Tafuri , D. Massarotti

Spintronic nano-neurons offer a promising route towards energy-efficient, high-performance hardware neural networks thanks to their inherent low-input nonlinear dynamics. However, training such networks remains a major bottleneck as it…

When fabricating magnetic memories, one of the main challenges is to maintain the bit stability while downscaling. Indeed, for magnetic volumes of a few thousand nm3, the energy barrier between magnetic configurations becomes comparable to…

Materials Science · Physics 2016-05-24 A. Mizrahi , N. Locatelli , R. Lebrun , V. Cros , A. Fukushima , H. Kubota , S. Yuasa , D. Querlioz , J. Grollier

We perform an experimental study of DC current induced microwave emission in a magnetic tunnel junction (MTJ) consisting of three active magnetic layers. For this tri-layer structure, in addition to a conventional bilayer orthogonal MTJ…

Mesoscale and Nanoscale Physics · Physics 2020-07-22 R. N. S. Rajapakse , Z. M. Zeng , H. W. Jiang

Flexible electronic devices require the integration of multiple crucial components on soft substrates to achieve their functions. In particular, memory devices are the fundamental component for data storage and processing in flexible…

Materials Science · Physics 2016-03-15 Li Ming Loong , Wonho Lee , Xuepeng Qiu , Ping Yang , Hiroyo Kawai , Mark Saeys , Jong-Hyun Ahn , Hyunsoo Yang

Efficient generation of spin currents from charge currents is of high importance for memory and logic applications of spintronics. In particular, generation of spin currents from charge currents in high spin-orbit coupling metals has the…

True random number generators (TRNGs) underpin modern cryptography, yet existing implementations face fundamental trade-offs between speed, scalability, and entropy quality. Here, we demonstrate that stochastic switching in the bistable…

In the past few years the phenomenon of spin dependent tunneling (SDT) in magnetic tunnel junctions (MTJs) has aroused enormous interest and has developed into a vigorous field of research. The large tunneling magnetoresistance (TMR)…

Altermagnets with nonrelativistic momentum-dependent spin splitting and compensated net magnetic moments have recently garnered significant interest in spintronics, particularly as pinning layers in magnetic tunnel junctions (MTJs).…

Materials Science · Physics 2026-04-10 Long Zhang , Guangxin Ni , Junjie He , Guoying Gao

Smart material implication (SIMPLY) logic has been recently proposed for the design of energy-efficient Logic-in-Memory (LIM) architectures based on non-volatile resistive memory devices. The SIMPLY logic is enabled by adding a comparator…

Emerging Technologies · Computer Science 2022-06-01 Raffaele De Rose , Tommaso Zanotti , Francesco Maria Puglisi , Felice Crupi , Paolo Pavan , Marco Lanuzza

In neuroscience, population coding theory demonstrates that neural assemblies can achieve fault-tolerant information processing. Mapped to nanoelectronics, this strategy could allow for reliable computing with scaled-down, noisy, imperfect…

Emerging Technologies · Computer Science 2018-03-16 Alice Mizrahi , Tifenn Hirtzlin , Akio Fukushima , Hitoshi Kubota , Shinji Yuasa , Julie Grollier , Damien Querlioz