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Related papers: A Novel Low Power Non-Volatile SRAM Cell with Self…

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We fabricated and characterized a new spin-functional MOSFET referred to as a pseudo-spin-MOSFET (PS-MOSFET). The PS-MOSFET is a circuit using an ordinary MOSFET and magnetic tunnel junction (MTJ) for reproducing functions of…

The concept of low-voltage depletion and accumulation of electron charge in semiconductors, utilized in field-effect transistors (FETs), is one of the cornerstones of current information processing technologies. Spintronics which is based…

Conventional 6T SRAM is used in microprocessors in the cache memory design. The basic 6T SRAM cell and a 6 bit memory array layout are designed in LEdit. The design and analysis of key SRAM components, sense amplifiers, decoders, write…

Systems and Control · Electrical Eng. & Systems 2025-08-14 Justin London

Altermagnets exhibit nonrelativistic spin splitting without net magnetization, establishing a new platform for next-generation spintronic devices. Although altermagnetic tunnel junctions (AMTJs) represent the most promising realizations,…

Multiferroic tunnel junctions (MFTJs) based on two-dimensional (2D) van der Waals heterostructures with sharp and clean interfaces at the atomic scale are crucial for applications in nanoscale multi-resistive logic memory devices. The…

Mesoscale and Nanoscale Physics · Physics 2023-08-24 Xinlong Dong , Xuemin Shen , Xiaowen Sun , Yuhao Bai , Zhi Yan , Xiaohong Xu

Memtranstor that correlates charge and magnetic flux via nonlinear magnetoelectric effects has a great potential in developing next-generation nonvolatile devices. In addition to multi-level nonvolatile memory, we demonstrate here that…

Emerging Technologies · Computer Science 2017-01-04 Jianxin Shen , Dashan Shang , Yisheng Chai , Yue Wang , Junzhuang Cong , Shipeng Shen , Liqin Yan , Wenhong Wang , Young Sun

Scalable, low-dissipation memory operating below 4 K is a critical requirement for superconducting and quantum computing systems. Existing cryogenic memory technologies rely on CMOS derivatives or hybrid architectures that incur leakage,…

Superconductivity · Physics 2026-04-27 Sonam Bhakat , Pushpak Banerjee , Ahmedullah Aziz , Jackson Miller , Avradeep Pal

Storage Class Memory (SCM) is a class of memory technology which has recently become viable for use. Their namearises from the fact that they exhibit non-volatility of data, similar to secondary storage while also having latencies…

Hardware Architecture · Computer Science 2019-09-27 Aditya K Kamath , Leslie Monis , A Tarun Karthik , Basavaraj Talawar

Rotating the magnetization of a magnetostrictive nanomagnet with electrically generated mechanical strain dissipates miniscule amount of energy compared to any other rotation method and would have been the ideal method to write bits in…

Materials Science · Physics 2014-07-09 Ayan K. Biswas , Supriyo Bandyopadhyay , Jayasimha Atulasimha

As a unique mechanism for MRAMs, magnetic coupling needs to be accounted for when designing memory arrays. This paper models both intra- and inter-cell magnetic coupling analytically for STT-MRAMs and investigates their impact on the write…

Emerging Technologies · Computer Science 2020-11-24 Lizhou Wu , Siddharth Rao , Mottaqiallah Taouil , Erik Jan Marinissen , Gouri Sankar Kar , Said Hamdioui

The electrically readable complex dynamics of robust and scalable magnetic tunnel junctions (MTJs) offer promising opportunities for advancing neuromorphic computing. In this work, we present an MTJ design with a free layer and two…

Increased process variability and reliability issues present a major challenge for future SRAM trends. Non-intrusive and accurate SRAM stability measurement is crucial for estimating yield in large SRAM arrays. Conventional SRAM variability…

Hardware Architecture · Computer Science 2024-11-26 Bartomeu Alorda , Cristian Carmona , Gabriel Torrens , Sebastia Bota

Spin-polarized charge-currents induce magnetic tunnel junction (MTJ) switching by virtue of spin-transfer-torque (STT). Recently, by taking advantage of the spin dependent thermoelectric properties of magnetic materials, novel means of…

Mesoscale and Nanoscale Physics · Physics 2015-06-15 Aakash Pushp , Timothy Phung , Charles Rettner , Brian P. Hughes , See-Hun Yang , Stuart S. P. Parkin

We report on first-principles calculations of spin-transfer torque (STT) in epitaxial magnetic tunnel junctions (MTJs) based on ferrimagnetic tetragonal Mn$_3$Ga electrodes, both as analyzer in an Fe/MgO stack, and also in an analogous…

Mesoscale and Nanoscale Physics · Physics 2022-01-10 Maria Stamenova , Plamen Stamenov , Farzad Mahfouzi , Quilong Sun , Nicholas Kioussis , Stefano Sanvito

Spin-based memories are attractive for their non-volatility and high durability but provide modest resistance changes, whereas semiconductor logic transistors are capable of large resistance changes, but lack memory function with high…

The concept of Perpendicular Shape-Anisotropy Spin-Transfer-Torque Magnetic Random-Access Memory tackles the downsize scalability limit of conventional ultrathin magnetic tunnel junctions (MTJ) below sub-20 nm technological nodes. This…

Mesoscale and Nanoscale Physics · Physics 2023-12-11 N. Caçoilo , L. D. Buda-Prejbeanu , B. Dieny , O. Fruchart , I. L. Prejbeanu

The recent proposal of altermagnetism has drawn widespread attention to antiferromagnet (AFM) exhibiting spin splitting, extending beyond the realm of sign-alternating spin splitting in momentum space protected solely by rotational…

Materials Science · Physics 2025-07-01 Fangqi Liu , Yanrong Song , Zhenhua Zhang , Yong Liu , Sicong Zhu , Zhihong Lu , Rui Xiong

Magnetic tunnel junctions (MTJs) interconnected via a continuous ferromagnetic free layer were fabricated for Spin Torque Majority Gate (STMG) logic. The MTJs are biased independently and show magnetoelectric response under spin transfer…

In-memory computing (IMC) is an effectual solution for energy-efficient artificial intelligence applications. Analog IMC amortizes the power consumption of multiple sensing amplifiers with analog-to-digital converter (ADC), and…

Emerging Technologies · Computer Science 2021-10-11 Hao Cai , Yanan Guo , Bo Liu , Mingyang Zhou , Juntong Chen , Xinning Liu , Jun Yang

Biologically-inspired computing models have made significant progress in recent years, but the conventional von Neumann architecture is inefficient for the large-scale matrix operations and massive parallelism required by these models. This…

Hardware Architecture · Computer Science 2025-09-23 Siqing Fu , Lizhou Wu , Tiejun Li , Chunyuan Zhang , Jianmin Zhang , Sheng Ma
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