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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

The concept of perpendicular shape anisotropy spin-transfer torque magnetic random-access memory (PSA-STT-MRAM) consists in increasing the storage layer thickness to values comparable to the cell diameter, to induce a perpendicular shape…

Mesoscale and Nanoscale Physics · Physics 2021-08-18 N. Caçoilo , S. Lequeux , B. M. S. Teixeira , B. Dieny , R. C. Sousa , N. A. Sobolev , O. Fruchart , I. L. Prejbeanu , L. D. Buda-Prejbeanu

Crossbar arrays using emerging non-volatile memory technologies such as Resistive RAM (ReRAM) offer high density, fast access speed and low-power. However the bandwidth of the crossbar is limited to single-bit read/write per access to avoid…

Emerging Technologies · Computer Science 2016-06-03 Mohammad Nasim Imtiaz Khan , Swaroop Ghosh , Radha Krishna Aluru , Rashmi Jha

Voltage-gate assisted spin-orbit torque (VGSOT) writing scheme combines the advantages from voltage control of magnetic anisotropy (VCMA) and spin-orbit torque (SOT) effects, enabling multiple benefits for magnetic random access memory…

Mesoscale and Nanoscale Physics · Physics 2021-06-11 Y. C. Wu , K. Garello , W. Kim , M. Gupta , M. Perumkunnil , V. Kateel , S. Couet , R. Carpenter , S. Rao , S. Van Beek , K. K. Vudya Sethu , F. Yasin , D. Crotti , G. S. Kar

Single-molecule memory device based on a single-molecule magnet (SMM) is one of the ultimate goals of semiconductor nanofabrication technologies. Here, we study how to manipulate and readout the SMM's two spin-state of stored information…

Mesoscale and Nanoscale Physics · Physics 2021-12-28 Hai-Bin Xue , Jiu-Qing Liang , Wu-Ming Liu

Processing-in-memory (PIM) reduces data transfer latency by rolling memory and logic elements into one compute location. As an emergent material candidate for such an architecture, we propose a strained Weyl semimetal based…

Mesoscale and Nanoscale Physics · Physics 2025-11-20 Youjian Chen , Hamed Vakili , Md Golam Morshed , Avik W. Ghosh

Recent years have witnessed growing interest in the use of Artificial Neural Networks (ANNs) for vision, classification, and inference problems. An artificial neuron sums N weighted inputs and passes the result through a non-linear transfer…

Emerging Technologies · Computer Science 2016-11-18 Deliang Fan , Yong Shim , Anand Raghunathan , Kaushik Roy

Short-term plasticity (STP) is a mechanism that stores decaying memories in synapses of the cerebral cortex. In computing practice, STP has been used, but mostly in the niche of spiking neurons, even though theory predicts that it is the…

Neural and Evolutionary Computing · Computer Science 2023-08-03 Hector Garcia Rodriguez , Qinghai Guo , Timoleon Moraitis

The ferroelectric material is an important platform to realize non-volatile memories. So far, existing ferroelectric memory devices utilize out-of-plane polarization in ferroelectric thin films. In this paper, we propose a new type of…

Applied Physics · Physics 2019-02-26 Huitao Shen , Junwei Liu , Kai Chang , Liang Fu

We investigated the performance of spin transfer torque random access memory (STT-RAM) cell with cross shaped Heusler compound based free layer using micromagnetic simulations. We designed the free layer using Cobalt based Heusler…

Emerging Technologies · Computer Science 2014-01-28 Tangudu Bharat Kumar , Bhaskar Awadhiya , E. MeherAbhinav , Bahniman Ghosh , Bhupesh Bishnoi

Neuromorphic computing-modelled after the functionality and efficiency of biological neural systems-offers promising new directions for advancing artificial intelligence and computational models. Photonic techniques for neuromorphic…

It has been shown that the combining of the electrical effect on the exchange bias field with giant magneto-resistance effect of the graphene/ferromagnet hybrid structures reveals a new non-volatile magnetic random access memory device…

Materials Science · Physics 2009-01-09 Y. G. Semenov , J. M. Zavada , K. W. Kim

Spin-orbit torque (SOT) is a promising switching mechanism for magnetic random-access memory (MRAM) as a result of the potential for improved switching speed and energy-efficiency. It is of particular interest to develop an SOT-MRAM device…

Switching of magnetic tunnel junction using femto-second laser enables a possible path for THz frequency memory operation, which means writing speeds 2 orders of magnitude faster than alternative electrical approaches based on spin transfer…

Prospective spintronic memory and logic devices will benefit from the negligible stray field and ultrafast magnetic dynamics inherent to antiferromagnets [1]. However, realizing isothermal, nonvolatile, and deterministic switching of…

In our earlier work [Appl. Phys. Lett. 92, 022509 (2008)], we proposed nonvolatile vortex random access memory (VRAM) based on the energetically stable twofold ground state of vortex-core magnetizations as information carrier. Here we…

Materials Science · Physics 2011-08-12 Young-Sang Yu , Hyunsung Jung , Ki-Suk Lee , Peter Fischer , Sang-Koog Kim

Antiferromagnetic (AFM) materials are a pathway to spintronic memory and computing devices with unprecedented speed, energy efficiency, and bit density. Realizing this potential requires AFM devices with simultaneous electrical writing and…

Ferromagnets are key materials for sensing and memory applications. In contrast, antiferromagnets that represent the more common form of magnetically ordered materials, have so far found less practical application beyond their use for…

Mesoscale and Nanoscale Physics · Physics 2017-05-31 J. Železný , P. Wadley , K. Olejník. A. Hoffmann , H. Ohno

In this paper, we review the different memristive threshold logic (MTL) circuits that are inspired from the synaptic action of flow of neurotransmitters in the biological brain. Brain like generalisation ability and area minimisation of…

Emerging Technologies · Computer Science 2016-04-26 Akshay Kumar Maan , Deepthi Anirudhan Jayadevi , Alex Pappachen James

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