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Field-free switching of perpendicularly magnetized ferromagnetic layer by spin orbit torque (SOT) from the spin Hall effect (SHE) is of great interest in the applications of magnetic memory devices. In this paper, we investigate the…

Applied Physics · Physics 2020-04-22 Kai Wu , Diqing Su , Renata Saha , Jian-Ping Wang

We investigated the performance of spin transfer torque random access memory (STT-RAM) cell with cross shaped Heusler compound based free layer using micromagnetic simulations. We designed the free layer using Cobalt based Heusler…

Emerging Technologies · Computer Science 2014-01-28 Tangudu Bharat Kumar , Bhaskar Awadhiya , E. MeherAbhinav , Bahniman Ghosh , Bhupesh Bishnoi

The paper is focused on temporal logics for the description of the behaviour of real-time pushdown reactive systems. The paper is motivated to bridge tractable logics specialized for expressing separately dense-time real-time properties and…

Logic in Computer Science · Computer Science 2019-11-20 Laura Bozzelli , Aniello Murano , Adriano Peron

Neuromorphic computing promises revolutionary improvements over conventional systems for applications that process unstructured information. To fully realize this potential, neuromorphic systems should exploit the biomimetic behavior of…

An analog neural network computing engine based on CMOS-compatible charge-trap transistor (CTT) is proposed in this paper. CTT devices are used as analog multipliers. Compared to digital multipliers, CTT-based analog multiplier shows…

In this paper, we propose a Spin-Torque (ST) based sensing scheme that can enable energy efficient multi-bit long distance interconnect architectures. Current-mode interconnects have recently been proposed to overcome the performance…

Emerging Technologies · Computer Science 2016-04-20 Zubair Al Azim , Abhronil Sengupta , Syed Shakib Sarwar , Kaushik Roy

In this paper, we discuss the design rationale and guidelines to build magnet-less circulators based on spatio-temporal modulation of resonant junctions consisting of first-order bandstop filters connected in a delta topology. Without…

Signal Processing · Electrical Eng. & Systems 2018-08-10 Ahmed Kord , Dimitrios L. Sounas , Andrea Alù

Arranging the stacking orders of A-type antiferromagnetic (A-AFM) bilayers offers a practical pathway to realizing two-dimensional altermagnets. Previous proposals, however, rely on stringent symmetry constraints, including layer groups and…

Materials Science · Physics 2026-02-23 Zhe Li , Lijuan Li , Mengxue Guan , Sheng Meng

We propose and computationally analyze a nonvolatile static random access memory (NV-SRAM) cell using magnetic tunnel junctions (MTJs) with magnetic-field-free current-induced magnetization switching (CIMS) architecture. A pair of MTJs…

Materials Science · Physics 2015-05-13 Shuu'ichirou Yamamoto , Satoshi Sugahara

Spin-torque nano-oscillators (STNOs) are promising nanoscale microwave sources for spintronic applications, serving as signal generators or elements in neuromorphic computing systems. In this paper, we investigate the experimental…

Other Condensed Matter · Physics 2025-11-10 Maksim Stebliy , Alex Jenkins , Luana Benetti , Ricardo Ferreira

This paper proposes a novel spiking artificial neuron design based on a combined spin valve/magnetic tunnel junction (SV/MTJ). Traditional hardware used in artificial intelligence and machine learning faces significant challenges related to…

Applied Physics · Physics 2025-06-10 Steven Louis , Hannah Bradley , Cody Trevillian , Andrei Slavin , Vasyl Tyberkevych

Recently discovered phase of collinear magnet called, altermagnet breaks time reversal symmetry (TRS), exhibits momentum-dependent spin-splitting of band structure with zero net magnetization. In this work, we theoretically investigate the…

Mesoscale and Nanoscale Physics · Physics 2025-09-17 Lovy Sharma , Manisha Thakurathi

Voltage-gate assisted spin-orbit torque (VGSOT) writing scheme combines the advantages from voltage control of magnetic anisotropy (VCMA) and spin-orbit torque (SOT) effects, enabling multiple benefits for magnetic random access memory…

Mesoscale and Nanoscale Physics · Physics 2021-06-11 Y. C. Wu , K. Garello , W. Kim , M. Gupta , M. Perumkunnil , V. Kateel , S. Couet , R. Carpenter , S. Rao , S. Van Beek , K. K. Vudya Sethu , F. Yasin , D. Crotti , G. S. Kar

Flexible electronics is an emerging field in many applications ranging from in vivo biomedical devices to wearable smart systems. The capability of conforming to curved surfaces opens the door to add electronic components to miniaturized…

The building block of in-memory computing with spintronic devices is mainly based on the magnetic tunnel junction with perpendicular interfacial anisotropy (p-MTJ). The resulting asymmetric write and read-out operations impose challenges in…

In artificial neural networks, neurons are usually implemented with highly dissipative CMOS-based operational amplifiers. A more energy-efficient implementation is a 'spin-neuron' realized with a magneto-tunneling junction (MTJ) that is…

Mesoscale and Nanoscale Physics · Physics 2015-07-27 Ayan K. Biswas , Jayasimha Atulasimha , Supriyo Bandyopadhyay

As CMOS nears the end of the projected scaling roadmap, significant effort has been devoted to the search for new materials and devices that can realize memory and logic. Spintronics, is one of the promising directions for the Post-CMOS…

Mesoscale and Nanoscale Physics · Physics 2016-11-18 Zoha Pajouhi , Swagath Venkataramani , Karthik Yogendra , Anand Raghunathan , Kaushik Roy

Valley-spin hall (VSH) effect in monolayer WSe2 has been shown to exhibit highly beneficial features for nonvolatile memory (NVM) design. Key advantages of VSH-based magnetic random-access memory (VSH-MRAM) over spin orbit torque (SOT)-MRAM…

Systems and Control · Electrical Eng. & Systems 2022-09-20 Karam Cho , Sumeet Kumar Gupta

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…

We report the performance characteristics of a notional Convolutional Neural Network based on the previously-proposed Multiply-Accumulate-Activate-Pool set, an MTJ-based spintronic circuit made to compute multiple neural functionalities in…

Emerging Technologies · Computer Science 2020-07-17 Andrew W. Stephan , Steven J. Koester
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