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Spin-gapless semiconductors (SGSs) are a promising class of materials for spintronic applications, enabling functions beyond conventional electronics. This study introduces a novel design for multifunctional spintronic field-effect…

Materials Science · Physics 2025-04-11 Ersoy Şaşıoğlu , Paul Bodewei , Nicki F. Hinsche , Ingrid Mertig

Resistive random-access memory (RRAM) is gaining popularity due to its ability to offer computing within the memory and its non-volatile nature. The unique properties of RRAM, such as binary switching, multi-state switching, and device…

Emerging Technologies · Computer Science 2024-07-08 Simranjeet Singh , Farhad Merchant , Sachin Patkar

Non-Volatile Random Access Memory (NVRAM) is a novel type of hardware that combines the benefits of traditional persistent memory (persistency of data over hardware failures) and DRAM (fast random access). In this work, we describe an…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-05-26 Vitaly Aksenov , Ohad Ben-Baruch , Danny Hendler , Ilya Kokorin , Matan Rusanovsky

Neuromorphic in-memory computing requires area-efficient architecture for seamless and low latency parallel processing of large volumes of data. Here, we report a compact, vertically integrated/stratified field-effect transistor (VSFET)…

Spin transfer torque magnetic random access memory (STT-MRAM) is a promising candidate for next generation memory as it is non-volatile, fast, and has unlimited endurance. Another important aspect of STT-MRAM is that its core component, the…

Spin-orbit torque (SOT) based magnetic random access memory (MRAM) is envisioned as an emerging non-volatile memory due to its ultra-high speed and low power consumption. The field-free switching schema in SOT devices is of great interest…

Applied Physics · Physics 2020-07-03 Min Wang , Zhaohao Wang , Chao Wang , Weisheng Zhao

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

Non-Volatile Main Memories (NVMMs) have recently emerged as promising technologies for future memory systems. Generally, NVMMs have many desirable properties such as high density, byte-addressability, non-volatility, low cost, and energy…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-10-12 Haikun Liu , Di Chen , Hai Jin , Xiaofei Liao , Bingsheng He , Kan Hu , Yu Zhang

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

The fundamental building blocks of modern silicon-based microelectronics, such as double gate transistors in non-volatile Flash memories, are based on the control of electrical resistance by electrostatic charging. Flash memories could soon…

Materials Science · Physics 2013-04-23 Laurent Cario , Cristian Vaju , Benoit Corraze , Vincent Guiot , Etienne Janod

Non-volatile memory (NVM) technologies such as PCM, ReRAM and STT-RAM allow processors to directly write values to persistent storage at speeds that are significantly faster than previous durable media such as hard drives or SSDs. Many…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-09-11 Nachshon Cohen , Michal Friedman , James R. Larus

On-chip learning in a crossbar array based analog hardware Neural Network (NN) has been shown to have major advantages in terms of speed and energy compared to training NN on a traditional computer. However analog hardware NN proposals and…

Neural and Evolutionary Computing · Computer Science 2019-07-02 Nilabjo Dey , Janak Sharda , Utkarsh Saxena , Divya Kaushik , Utkarsh Singh , Debanjan Bhowmik

In pursuit of neuromorphic (brain-inspired) devices, memristors (memory-resistors) have emerged as effective components for emulating neuronal circuitry. Here we formally define a class of Simple Volatile Memristors (SVMs) based on a simple…

Soft Condensed Matter · Physics 2024-09-20 T. M. Kamsma , R. van Roij , C. Spitoni

A new genre of Spin-Transfer Torque (STT) MRAM is proposed, in which bi-directional writing is achieved using thermoelectrically controlled magnonic current as an alternative to conventional electric current. The device uses a magnetic…

Materials Science · Physics 2011-08-12 Niladri N. Mojumder , Kaushik Roy , David W. Abraham

At the end of Silicon roadmap, keeping the leakage power in tolerable limit and bridging the bandwidth gap between processor and memory have become some of the biggest challenges. Several promising Non-Volatile Memories (NVMs) such as,…

Cryptography and Security · Computer Science 2021-05-14 Mohammad Nasim Imtiaz Khan , Swaroop Ghosh

We propose a spintronic metal oxide semiconductor field effect transistor (spin MOSFET) where a spin gapless semiconductor (SGS) constitutes the channel and the drain is a ferromagnetic metal. SGS exhibit a non-zero band gap in only one of…

Materials Science · Physics 2016-06-22 Patrizio Graziosi

We propose non-volatile memory (NVM) designs based on Piezoelectric Strain FET (PeFET) utilizing a piezoelectric/ferroelectric (PE/FE such as PZT) coupled with 2D Transition Metal Dichalcogenide (2D-TMD such as MoS2) transistor. The…

Emerging Technologies · Computer Science 2023-06-07 Niharika Thakuria , Reena Elangovan , Anand Raghunathan , Sumeet K. Gupta

Non-volatile Memory (NVM) technologies present a promising alternative to traditional volatile memories such as SRAM and DRAM. Due to the limited availability of real NVM devices, simulators play a crucial role in architectural exploration…

We propose and theoretically analyze a novel metal-oxide-semiconductor field-effect-transistor (MOSFET) type of spin transistor (hereafter referred to as a spin MOSFET) consisting of a MOS gate structure and half-metallic-ferromagnet (HMF)…

Materials Science · Physics 2009-11-10 S. Sugahara , M. Tanaka

Perpendicular shape anisotropy (PSA) and double magnetic tunnel junctions (DMTJ) offer practical solutions to downscale spin-transfer-torque Magnetic Random-Access Memory (STT-MRAM) beyond 20 nm technology nodes, whilst retaining their…