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Spin Transfer Torque Random Access Memory (STT-RAM) has garnered interest due to its various characteristics such as non-volatility, low leakage power, high density. Its magnetic properties have a vital role in STT switching operations…

Hardware Architecture · Computer Science 2022-08-17 Saeed Seyedfaraji , Javad Talafy Daryani , Mohamed M. Sabry Aly , Semeen Rehman

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

Magnetic tunnel junctions (MTJs) are basic building blocks for devices such as magnetic random access memories (MRAMs). The relevance for modern computation of non-volatile high-frequency memories makes ac-transport measurements of MTJs…

Mesoscale and Nanoscale Physics · Physics 2017-02-08 Subir Parui , Mário Ribeiro , Ainhoa Atxabal , Amilcar Bedoya-Pinto , Xiangnan Sun , Roger Llopis , Fèlix Casanova , Luis E. Hueso

The storage industry is moving toward emerging non-volatile memories (NVMs), including the spin-transfer torque magnetoresistive random-access memory (STT-MRAM) and the phase-change memory (PCM), owing to their high density and low-power…

Emerging Technologies · Computer Science 2020-04-28 Nikhil Rangarajan , Satwik Patnaik , Johann Knechtel , Ozgur Sinanoglu , Shaloo Rakheja

We demonstrate that thermally stable perpendicular magnetic tunnel junctions (pMTJs), widely used in spin-transfer torque magnetic random-access memory, can be actuated with nanosecond pulses to exhibit tunable stochastic behavior. This…

Mesoscale and Nanoscale Physics · Physics 2026-01-15 Ahmed Sidi El Valli , Michael Tsao , Dairong Chen , Andrew D. Kent

Recently there is considerable interest to realize efficient and low-cost true random number generators (RNGs) for practical applications. One important way is through the use of bistable magnetic tunnel junctions (MTJs). Here we study the…

Other Condensed Matter · Physics 2023-09-07 Chee Kwan Gan , Bingjin Chen , Minggang Zeng

The human brain achieves exceptional energy efficiency by co-locating memory and processing, yet reproducing this principle in hardware remains challenging because many neuromorphic devices require standby power, offer limited…

Power consumption is the main limitation in the development of new high performance random access memory for portable electronic devices. Magnetic RAM (MRAM) with CoFeB/MgO based magnetic tunnel junctions (MTJs) is a promising candidate for…

We numerically investigate the effect of magnetic and electrical damages at the edge of a perpendicular magnetic random access memory (MRAM) cell on the spin-transfer-torque (STT) efficiency that is defined by the ratio of thermal stability…

Materials Science · Physics 2015-09-02 Kyungmi Song , Kyung-Jin Lee

Emerging non-volatile memories (NVMs) have currently attracted great interest for their potential applications in advanced low-power information storage and processing technologies. Conventional NVMs, such as magnetic random access memory…

True random number generators (TRNGs) are fundamental building blocks for many applications, such as cryptography, Monte Carlo simulations, neuromorphic computing, and probabilistic computing. While perpendicular magnetic tunnel junctions…

In-memory computing is a promising approach to addressing the processor-memory data transfer bottleneck in computing systems. We propose Spin-Transfer Torque Compute-in-Memory (STT-CiM), a design for in-memory computing with Spin-Transfer…

Emerging Technologies · Computer Science 2017-11-22 Shubham Jain , Ashish Ranjan , Kaushik Roy , Anand Raghunathan

Magnetic tunnel junctions with perpendicular anisotropy form the basis of the spin-transfer torque magnetic random-access memory (STT-MRAM), which is non-volatile, fast, dense, and has quasi-infinite write endurance and low power…

Materials Science · Physics 2021-02-17 Libor Vojáček , Fatima Ibrahim , Ali Hallal , Bernard Dieny , Mairbek Chshiev

We propose a two terminal nanomagnetic memory element based on magnetization reversal of a perpendicularly magnetized nanomagnet employing a unipolar voltage pulse that modifies the perpendicular anisotropy of the system. Our work…

Mesoscale and Nanoscale Physics · Physics 2018-06-04 Dhritiman Bhattacharya , Jayasimha Atulasimha

PCM is a popular backing memory for DRAM main memory in tiered memory systems. PCM has asymmetric access energy; writes dominate reads. MLC asymmetry can vary by an order of magnitude. Many schemes have been developed to take advantage of…

Hardware Architecture · Computer Science 2021-12-06 Stephen Longofono , Seyed Mohammad Seyedzadeh , Alex K. Jones

Enabling scalable and energy-efficient control of spin defects in solid-state media is desirable for realizing transformative quantum information technologies. Exploiting voltage-controlled magnetic anisotropy, we report coherent…

Serial connection of multiple memory cells using perpendicular magnetic tunnel junctions (pMTJ) is proposed as a way to increase magnetic random access memory (MRAM) storage density. Multi-bit storage element is designed using pMTJs…

Applied Physics · Physics 2019-07-24 Piotr Rzeszut , Witold Skowroński , Sławomir Ziętek , Jerzy Wrona , Tomasz Stobiecki

We demonstrate the reduction of critical spin-transfer torque (STT) switching currents in Co-Fe-B/MgO based magnetic tunnel junctions (MTJ) with perpendicular magnetization anisotropy (PMA). The junctions yield tunnel magnetoresistance…

Emerging non-volatile memories have been proposed for a wide range of applications from easing the von-Neumann bottleneck to neuromorphic applications. Specifically, scalable RRAMs based on Pr$_{1-x}$Ca$_x$MnO$_3$ (PCMO) exhibit analog…

Emerging Technologies · Computer Science 2021-11-05 Vivek Saraswat , Udayan Ganguly

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…