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We present a novel design of a strained topological insulator spin-orbit torque random access memory (STI-SOTRAM) bit cell comprising a piezoelectric/magnet (gating)/topological insulator (TI)/magnet (storage) heterostructure that leverages…

Mesoscale and Nanoscale Physics · Physics 2025-03-03 Md Golam Morshed , Hamed Vakili , Mohammad Nazmus Sakib , Samiran Ganguly , Mircea R. Stan , Avik W. Ghosh

We fabricated a nanolayered hybrid superconductor-ferromagnet spin-valve structure, the resistive state of which depends on the preceding magnetic field polarity. The effect is based on a strong exchange bias (about -2 kOe) on a diluted…

Single-molecule memory device based on a single-molecule magnet (SMM) is one of the ultimate goals of semiconductor nanofabrication technologies. Here, we study how to manipulate and readout the SMM's two spin-state of stored information…

Mesoscale and Nanoscale Physics · Physics 2021-12-28 Hai-Bin Xue , Jiu-Qing Liang , Wu-Ming Liu

Vertical structures of SiO$_{2}$ sandwiched between a top tungsten electrode and conducting non-metal substrate were fabricated by dry and wet etching methods. Both structures exhibit similar voltage-controlled memory behaviors, in which…

Materials Science · Physics 2009-05-21 J. Yao , L. Zhong , D. Natelson , J. M. Tour

Progress in high-performance computing demands significant advances in memory technology. Among novel memory technologies that promise efficient device operation on a sub-ns timescale, resistance switching between charge ordered phases of…

Processing-in-memory (PIM) reduces data transfer latency by rolling memory and logic elements into one compute location. As an emergent material candidate for such an architecture, we propose a strained Weyl semimetal based…

Mesoscale and Nanoscale Physics · Physics 2025-11-20 Youjian Chen , Hamed Vakili , Md Golam Morshed , Avik W. Ghosh

Nonvolatile devices based on the spin-orbit torque (SOT) mechanism are highly suitable for in-memory logic operations. The current objective is to enhance the memory density of memory cells while performing logic operations within the same…

Applied Physics · Physics 2024-08-20 Raghvendra Posti , Dhanajay Tiwari , Debangsu Roy

Superconducting electronics represents a promising technology, offering not only efficient integration with quantum computing systems, but also the potential for significant power reduction in high-performance computing. Nonetheless, the…

Superconductivity · Physics 2025-03-24 Leon Ruf , Angelo Di Bernardo , Elke Scheer

Spin-orbit torques (SOT) provide a versatile tool to manipulate the magnetization of diverse classes of materials and devices using electric currents, leading to novel spintronic memory and computing approaches. In parallel to spin transfer…

Applied Physics · Physics 2022-07-26 Viola Krizakova , Manu Perumkunnil , Sebastien Couet , Pietro Gambardella , Kevin Garello

A new concept for nonvolatile superconducting memories is proposed. The devices combine ferromagnetic dots for the storage of the data and Josephson junctions for their readout. Good scalability is expected for large scale integration.…

Superconductivity · Physics 2007-05-23 R. Held , J. Xu , A. Schmehl , C. W. Schneider , J. Mannhart , M. R. Beasley

Using type-x spin-orbit torque (SOT) switching scheme, in which the easy axis (EA) of the ferromagnetic (FM) layer and the charge current flow direction are collinear, is possible to realize a lower-power-consumption, higher-density, and…

Mesoscale and Nanoscale Physics · Physics 2021-08-04 Yan-Ting Liu , Chao-Chung Huang , Kuan-Hao Chen , Yu-Hao Huang , Chia-Chin Tsai , Ting-Yu Chang , Chi-Feng Pai

Memristive circuit elements constitute a cornerstone for novel electronic applications, such as neuromorphic computing, called to revolutionize information technologies. By definition, memristors are sensitive to the history of electrical…

Memristors are emerging as key electronic components that retain resistance states without power. Their non-volatile nature and ability to mimic synaptic behavior make them ideal for next-generation memory technologies and neuromorphic…

Mesoscale and Nanoscale Physics · Physics 2025-10-28 Tongxin Chen , Yinyu Nie , Yafei Hao , Shengchun Shen , Jiajun Pan , Xiaoguang Li , Yuan Lu

The interplay between superconductivity and ferromagnetism in the superconductor/ferromagnet (SC/FM) heterostructures generates many interesting physical phenomena, including spin-triplet superconductivity, superconducting order parameter…

Mesoscale and Nanoscale Physics · Physics 2022-11-17 Ranran Cai , Igor Žutić , Wei Han

This work introduces a fully tunable, ultra-low power unipolar memory cell inspired by the Schmitt-trigger comparator and designed in CMOS using only nine transistors. The proposed circuit operates entirely in the current domain and…

Signal Processing · Electrical Eng. & Systems 2026-05-19 Arthur Fyon , Loris Mendolia , Jean-Michel Redouté , Alessio Franci , Guillaume Drion

Achieving brain-like density and performance in neuromorphic computers necessitates scaling down the size of nanodevices emulating neuro-synaptic functionalities. However, scaling nanodevices results in reduction of programming resolution…

Emerging Technologies · Computer Science 2023-03-14 A N M Nafiul Islam , Arnob Saha , Zhouhang Jiang , Kai Ni , Abhronil Sengupta

Spin-orbit torque (SOT)-based perpendicularly magnetized memory devices with multistate memory have garnered significant interest due to their applicability in low-power in-memory analog computing. However, current methods are hindered by…

Mesoscale and Nanoscale Physics · Physics 2024-10-08 Raghvendra Posti , Chirag Kalouni , Dhananjay K Tiwari , Debangsu Roy

Ultra-fast \& low-power superconductor single-flux-quantum (SFQ)-based CNN systolic accelerators are built to enhance the CNN inference throughput. However, shift-register (SHIFT)-based scratchpad memory (SPM) arrays prevent a SFQ CNN…

Hardware Architecture · Computer Science 2021-09-06 Farzaneh Zokaee , Lei Jiang

In many cases, the behavior of physical memristive devices can be relatively well captured by using a single internal state variable. This study investigates the low-power control of first-order memristive devices to derive the most…

Emerging Technologies · Computer Science 2026-01-14 Valeriy A. Slipko , Alon Ascoli , Fernando Corinto , Yuriy V. Pershin

We demonstrate a Josephson junction with a weak link containing two ferromagnets, with perpendicular magnetic anisotropy and independent switching fields in which the critical current can be set by the mutual orientation of the two layers.…