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Future applications of spin-orbit torque will require new mechanisms to improve the efficiency for switching nanoscale magnetic tunnel junctions (MTJs), while also controlling the magnetic dynamics to achieve fast, nanosecond scale…

Mesoscale and Nanoscale Physics · Physics 2018-02-07 Shengjie Shi , Yongxi Ou , S. V. Aradhya , D. C. Ralph , R. A. Buhrman

Stateful logic is a promising processing-in-memory (PIM) paradigm to perform logic operations using emerging nonvolatile memory cells. While most stateful logic circuits to date focused on technologies such as resistive RAM, we propose two…

Emerging Technologies · Computer Science 2022-08-02 Barak Hoffer , Shahar Kvatinsky

Electrical static random memory (E-SRAM) is the current standard for internal static memory in Field Programmable Gate Array (FPGA). Despite the dramatic improvement in E-SRAM technology over the past decade, the goal of ultra-fast,…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-08-24 Sasindu Wijeratne , Akhilesh Jaiswal , Ajey P. Jacob , Bingyi Zhang , Viktor Prasanna

Resistive memories (RRAM) are promising candidates for replacing present nonvolatile memories and realizing storage class memories; hence resistance switching devices are of particular interest. These devices are typically memristive, with…

Applied Physics · Physics 2025-02-06 N Vasileiadis , P Loukas , A Mavropoulis , P Normand , I Karafyllidis , G Ch Sirakoulis , P Dimitrakis

Memristor, one of the fundamental circuit elements, has promising applications in non-volatile memory and storage technology as it can theoretically achieve infinite states. Information can be stored independently in these states and…

Emerging Technologies · Computer Science 2019-05-14 Santosh Parajuli , Ram Kaji Budhathoki , Hyongsuk Kim

Spin-valve is a microelectronic device in which high and low resistance states are realized by utilizing both charge and spin of carriers. Spin-valve structures used in modern hard drive read-heads and magnetic random access memories…

Emerging non-volatile memory (NVM), or memristive, devices promise energy-efficient realization of deep learning, when efficiently integrated with mixed-signal integrated circuits on a CMOS substrate. Even though several algorithmic…

Neural and Evolutionary Computing · Computer Science 2018-04-23 Vishal Saxena , Xinyu Wu , Kehan Zhu

The straintronic magnetic tunnel junction (s-MTJ) is an MTJ whose resistance state can be changed continuously or gradually from high to low with a gate voltage that generates strain the magnetostrictive soft layer. This unusual feature,…

Mesoscale and Nanoscale Physics · Physics 2025-03-04 Supriyo Bandyopadhyay

This paper examines the coexistence of resistive, capacitive, and inertia (virtual inductive) effects in memristive devices, focusing on ReRAM devices, specifically the interface-type or non-filamentary analog switching devices. A…

Mesoscale and Nanoscale Physics · Physics 2024-01-30 Sahitya Yarragolla , Torben Hemke , Jan Trieschmann , Thomas Mussenbrock

Physics-inspired computing paradigms, such as Ising machines, are emerging as promising hardware alternatives to traditional von Neumann architectures for tackling computationally intensive combinatorial optimization problems (COPs). While…

Applied Physics · Physics 2026-03-17 Sai Li , Yihao Zhang , Albert Lee , Zheng Zhu , Lang Zeng , Peng Wang , Lei Gao , Di Wu , Weisheng Zhao

A rapidly developing field of spintronics is based on the premise that substituting charge with spin as a carrier of information can lead to new devices with lower power consumption, non-volatility and high operational speed. Despite…

Materials Science · Physics 2009-11-13 M. Overby , A. Chernyshov , L. P. Rokhinson , X. Liu , J. K. Furdyna

Spin-orbit torque (SOT) represents an energy efficient method to control magnetization in magnetic memory devices. However, deterministically switching perpendicular memory bits usually requires the application of an additional bias field…

Applied Physics · Physics 2018-10-03 Qianchang Wang , John Domann , Guoqiang Yu , Anthony Barra , Kang L. Wang , Gregory P. Carman

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…

Superparamagnetic tunnel junctions (SMTJs) have emerged as a competitive, realistic nanotechnology to support novel forms of stochastic computation in CMOS-compatible platforms. One of their applications is to generate random bitstreams…

Emerging Technologies · Computer Science 2020-03-09 Matthew W. Daniels , Advait Madhavan , Philippe Talatchian , Alice Mizrahi , Mark D. Stiles

Solid-state memory is an essential component of the digital age. With advancements in healthcare technology and the Internet of Things (IoT), the demand for ultra-dense, ultra-low-power memory is increasing. In this review, we present a…

Emerging Technologies · Computer Science 2016-06-28 Mohamed T. Ghoneim , Muhammad M. Hussain

Resistance-change random access memory (RRAM) devices are nanoscale metal-insulator-metal structures that can store information in their resistance states, namely the high resistance (HRS) and low resistance (LRS) states. They are a…

Emerging Technologies · Computer Science 2022-06-14 Yuvraj Misra , Tarun Kumar Agarwal

Resistance Random Access Memory (RRAMTM) device, with its electrically induced nanoscale resistive switching capacity, has been gaining considerable attention as future non-volatile memory device. Here, we propose a mechanism of switching…

Spin transistors (whose on-off operation is achieved by electric-field-controlled spin orientation 1), if realized, can revolutionize modern electronics through the implementation of a faster and a more energy-efficient performance as well…

Mesoscale and Nanoscale Physics · Physics 2018-07-16 Shengwei Jiang , Lizhong Li , Zefang Wang , Jie Shan , Kin Fai Mak

Recently, spin-transfer torque (STT) based magnetization switching has been widely utilized in magnetic resistance-based memories, which have broad applications in microcontroller units and other devices. This study utilizes a macrospin…

Materials Science · Physics 2025-03-18 Tomoki Watanabe , Keisuke Yamada , Yoshinobu Nakatani

Short-term plasticity (STP) is fundamental to temporal information processing in biological neural systems but remains difficult to realize efficiently in neuromorphic hardware. Memristive electrochemical random-access memory (ECRAM)…

Neural and Evolutionary Computing · Computer Science 2026-05-13 Alex Currie , Sean Borkholder , Nithil Harris Manimaran , Huayuan Han , Cory Merkel , Ke Xu , Tejasvi Das