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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

Concepts for memories based on the manipulation of giant magnetostrictive nanomagnets by stress pulses have garnered recent attention due to their potential for ultra-low energy operation in the high storage density limit. Here we discuss…

Materials Science · Physics 2016-01-12 Praveen G. Gowtham , Graham E. Rowlands , Robert A. Buhrman

The desire to perform information processing, computation, communication, signal generation and related tasks, while dissipating as little energy as possible, has inspired many ideas and paradigms. One of the most powerful among them is the…

Mesoscale and Nanoscale Physics · Physics 2022-01-27 Supriyo Bandyopadhyay , Jayasimha Atulasimha , Anjan Barman

High-speed magnetization switching of a nanomagnet is necessary for faster information processing. The ballistic switching by a pulsed magnetic filed is a promising candidate for the high-speed switching. It is known that the switching…

Mesoscale and Nanoscale Physics · Physics 2023-05-18 Toshiki Yamaji , Hiroshi Imamura

Energy-efficiency and design-complexity of high-speed on-chip and inter-chip data-interconnects has emerged as the major bottleneck for high-performance computing-systems. As a solution, we propose an ultra-low energy interconnect…

Materials Science · Physics 2013-08-26 Mrigank Sharad , Kaushik Roy

Graphical probabilistic circuit models of stochastic computing are more powerful than the predominant deep learning models, but also have more demanding requirements. For example, they require "programmable stochasticity", e.g. generating…

Mesoscale and Nanoscale Physics · Physics 2023-01-24 M. T. McCray , Md Ahsanul Abeed , Supriyo Bandyopadhyay

Neuromorphic computing, inspired by the brain, promises extreme efficiency for certain classes of learning tasks, such as classification and pattern recognition. The performance and power consumption of neuromorphic computing depends…

Emerging Technologies · Computer Science 2018-06-14 Baibhab Chatterjee , Priyadarshini Panda , Shovan Maity , Ayan Biswas , Kaushik Roy , Shreyas Sen

Neurons in the brain behave as a network of coupled nonlinear oscillators processing information by rhythmic activity and interaction. Several technological approaches have been proposed that might enable mimicking the complex information…

Applied Physics · Physics 2018-11-07 M. Vogel , B. Zimmermann , J. Wild , F. Schwarzhuber , C. Mewes , T. Mewes , J. Zweck , C. H. Back

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

We present a novel procedure for manipulating the near-field of plasmonic nanoantennas using neural network-controlled laser pulse-shaping. As model systems we numerically studied the spatial distribution of the second harmonic response of…

Optics · Physics 2018-12-26 Alberto Comin , Achim Hartschuh

In this study, we show that any system consisting of magnetic dipoles forming ordered or disordered configurations can be simplified to a form mathematically equivalent to a system consisting of two magnetic dipoles. It is shown that the…

Materials Science · Physics 2014-02-05 Igor Dimitrov , Ulaş Dinç

The manipulation of antiferromagnetic order by means of spin-orbit torques opens unprecedented opportunities to exploit the dynamics of antiferromagnets in spintronic devices. In this work, we investigate the current-induced switching of…

Nanomagnetic logic, which makes use of arrays of dipolar-coupled single domain nanomagnets for computation, holds promise as a low power alternative to traditional computation with CMOS. Beyond the use of nanomagnets for Boolean logic,…

In this paper we systematically evaluate the variation in the reversal delay of a nanomagnet driven by a longitudinal spin current while under the influence of thermal noise. We then use the results to evaluate the performance of an…

Mesoscale and Nanoscale Physics · Physics 2016-11-03 Nickvash Kani , Shaloo Rakheja , Azad Naeemi

Magnetic skyrmions have attracted considerable interest, especially after their recent experimental demonstration at room temperature in multilayers. The robustness, nanoscale size and non-volatility of skyrmions have triggered a…

Accurately assessing mental workload is crucial in cognitive neuroscience, human-computer interaction, and real-time monitoring, as cognitive load fluctuations affect performance and decision-making. While Electroencephalography (EEG) based…

Neural and Evolutionary Computing · Computer Science 2025-09-29 Jiahui An , Sara Irina Fabrikant , Giacomo Indiveri , Elisa Donati

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

Schemes of switching nanomagnetic memories via the effect of spin torque with various polarizations of injected electrons are studied. Simulations based on macrospin and micromagnetic theories are performed and compared. We demonstrate that…

Mesoscale and Nanoscale Physics · Physics 2015-05-18 Dmitri E. Nikonov , George I. Bourianoff , Graham Rowlands , Ilya N. Krivorotov

We investigated a possible use of the magnonic interferometric switches in multi-valued logic circuits. The switch is a three-terminal device consisting of two spin channels where input, control, and output signals are spin waves. Signal…

Mesoscale and Nanoscale Physics · Physics 2017-02-01 M. Balynsky , A. Kozhevnikov , Y. Khivintsev , T. Bhowmick , D. Gutierrez , H. Chiang , G. Dudko , Y. Filimonov , G. Liu , C. Jiang , A. A. Balandin , R. Lake , A. Khitun

Light pulses offer a faster, more energy-efficient, and direct route to magnetic bit writing, pointing toward a hybrid memory and computing paradigm based on photon transmission and spin retention. Yet progress remains hindered, as…