English
Related papers

Related papers: Performing Stateful Logic Using Spin-Orbit Torque …

200 papers

Spintronics, the use of spin of an electron instead of its charge, has received huge attention from research communities for different applications including memory, interconnects, logic implementation, neuromorphic computing, and many…

In this paper we discuss the potential of emerging spintorque devices for computing applications. Recent proposals for spinbased computing schemes may be differentiated as all-spin vs. hybrid, programmable vs. fixed, and, Boolean vs.…

Disordered Systems and Neural Networks · Physics 2013-08-19 Kaushik Roy , Mrigank Sharad , Deliang Fan , Karthik Yogendra

Continuous switching driven by spin-orbit torque (SOT) is preferred to realize neuromorphic computing in a spintronic manner. Here we have applied focused ion beam (FIB) to selectively illuminate patterned regions in a Pt/Co/MgO strip with…

Many key electronic technologies (e.g., large-scale computing, machine learning, and superconducting electronics) require new memories that are fast, reliable, energy-efficient, and of low-impedance at the same time, which has remained a…

Applied Physics · Physics 2020-01-15 Lijun Zhu , Lujun Zhu , Shengjie Shi , D. C. Ralph , R. A. Buhrman

Neuromorphic hardware as a non-Von Neumann architecture has better energy efficiency and parallelism than the conventional computer. Here, with numerical modeling spin-orbit torque (SOT) device using current-induced SOT and Joule heating…

Applied Physics · Physics 2023-04-19 Haotian Li , Liyuan Li , Kaiyuan Zhou , Chunjie Yan , Zhenyu Gao , Zishuang Li , Ronghua Liu

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

Analog electronic non-volatile memories mimicking synaptic operations are being explored for the implementation of neuromorphic computing systems. Compound synapses consisting of ensembles of stochastic binary elements are alternatives to…

Applied Physics · Physics 2019-10-02 Vaibhav Ostwal , Ramtin Zand , Ronald DeMara , Joerg Appenzeller

Combining spin-orbit (SOT) and spin-transfer torques (STT) provides a practical approach for field-free switching in spin-orbit torque magnetic random-access memory (SOT-MRAM), a prerequisite for industrial deployment, but can compromise…

Mesoscale and Nanoscale Physics · Physics 2026-05-27 Kuldeep Ray , Jérémie Vigier , Sylvain Martin , Chloé Bouard , Nicolas Lefoulon , Marc Drouard , Gilles Gaudin

Memristors are promising next-generation memory candidates that are nonvolatile, possess low power requirements and are capable of nanoscale fabrication. In this article we physically realise and describe the use of organic memristors in…

Emerging Technologies · Computer Science 2012-12-17 Victor Erokhin , Gerard David Howard , Andrew Adamatzky

Spin-orbit torque (SOT) enables ultra-fast, energy-efficient magnetization switching, making it a promising mechanism for introducing MRAMs for cache memory applications. However, current SOT-MRAM devices face write efficiency limitations,…

Spin-orbit torque (SOT) is an emerging technology that enables the efficient manipulation of spintronic devices. The initial processes of interest in SOTs involved electric fields, spin-orbit coupling, conduction electron spins and…

We show that current induced magneto-logic gates like AND, OR and NOT can be designed with the simple architecture involving a single nano spin-valve pillar, as an extension of our recent work on spin-torque-driven magneto-logic universal…

Mesoscale and Nanoscale Physics · Physics 2014-01-06 C. Sanid , S. Murugesh

In-memory computing promises to overcome the von Neumann bottleneck in computer systems by performing computations directly within the memory. Previous research has suggested using Spin-Transfer Torque RAM (STT-RAM) for in-memory computing…

Computers and Society · Computer Science 2024-07-30 Dhruv Gajaria , Kevin Antony Gomez , Tosiron Adegbija

We report a spin-orbit torque(SOT) magnetoresistive random-access memory(MRAM)-based probabilistic binary neural network(PBNN) for resource-saving and hardware noise-tolerant computing applications. With the presence of thermal fluctuation,…

Emerging Technologies · Computer Science 2024-03-29 Yu Gu , Puyang Huang , Tianhao Chen , Chenyi Fu , Aitian Chen , Shouzhong Peng , Xixiang Zhang , Xufeng Kou

Memcomputing logic gates generalize the traditional Boolean logic gates for operation in the reverse direction. According to the literature, this functionality enables the efficient solution of computationally-intensive problems including…

Emerging Technologies · Computer Science 2024-02-02 Y. V. Pershin

We propose magnetic threshold-logic (MTL) design based on non-volatile spin-torque switches. A threshold logic gate (TLG) performs summation of multiple inputs multiplied by a fixed set of weights and compares the sum with a threshold. MTL…

Emerging Technologies · Computer Science 2013-08-21 Mrigank Sharad , Deliang Fan , Kaushik Roy

We describe a spin logic device with controllable magnetization switching of perpendicularly magnetized ferromagnet / heavy metal structures on a ferroelectric (1-x)[Pb(Mg1/3Nb2/3)O3]-x[PbTiO3] (PMN-PT) substrate using current-induced…

Charge-to-spin and spin-to-charge conversion mechanisms in high spin-orbit materials are the new frontier of memory devices. They operate via spin-orbit torque (SOT) switching of a magnetic electrode, driven by an applied charge current. In…

Spin Orbit Torque-Magnetic Random Access Memory (SOT-MRAM) is being developed as a successor to the Spin transfer torque MRAM (STT-MRAM) owing to its superior performance on the metrics of reliability and read-write speed. SOT switching of…

Mesoscale and Nanoscale Physics · Physics 2025-10-31 Akanksha Chouhan , Heston A. Mendonca , Abhishek Erram , Ashwin A. Tulapurkar

The use of analog resistance states for storing weights in neuromorphic systems is impeded by fabrication imprecision and device stochasticity that limit the precision of synapse weights. This challenge can be resolved by emulating analog…

Neural and Evolutionary Computing · Computer Science 2021-12-13 Peng Zhou , Julie A. Smith , Laura Deremo , Stephen K. Heinrich-Barna , Joseph S. Friedman