Zobrazeno 1 - 10
of 60
pro vyhledávání: '"Abeed, Md Ahsanul"'
Surface Acoustic Wave induced modulation of tunneling magnetoresistance in magnetic tunnel junctions
Autor:
Bhattacharya, Dhritiman, Sheng, Peng, Abeed, Md Ahsanul, Zhao, Zhengyang, Li, Hongshi, Wang, Jian-Ping, Bandyopadhyay, Supriyo, Ma, Bin, Atulasimha, Jayasimha
We show that a surface acoustic wave (SAW) applied across the terminals of a magnetic tunnel junction (MTJ) decreases both the (time-averaged) parallel and antiparallel resistances of the MTJ, with the latter decreasing much more than the former. Thi
Externí odkaz:
http://arxiv.org/abs/2103.15303
Publikováno v:
Scientific Reports, 9, 16635 (2019)
We have theoretically studied how resonant spin wave modes in an elliptical nanomagnet are affected by fabrication defects, such as small local thickness variations. Our results indicate that defects of this nature, which can easily result from the f
Externí odkaz:
http://arxiv.org/abs/2003.03833
Publikováno v:
Advanced Materials Technologies, 1901076 (2020)
A novel on-chip extreme sub-wavelength "acoustic antenna" whose radiation efficiency is ~50 times larger than the theoretical limit for a resonantly driven antenna is demonstrated. The antenna is composed of magnetostrictive nanomagnets deposited on
Externí odkaz:
http://arxiv.org/abs/1908.03516
In a two-dimensional arrangement of closely spaced elliptical nanomagnets with in-plane magnetic anisotropy, whose major axes are aligned along columns and minor axes along rows, dipole coupling will make the magnetic ordering "ferromagnetic" along t
Externí odkaz:
http://arxiv.org/abs/1908.00893
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 two random
Externí odkaz:
http://arxiv.org/abs/1907.07532
Publikováno v:
IEEE Magnetics Letters, 10, 4504405 (2019)
Much attention has been focused on the design of low barrier nanomagnets (LBM), whose magnetizations vary randomly in time owing to thermal noise, for use in binary stochastic neurons (BSN) which are hardware accelerators for machine learning. The pe
Externí odkaz:
http://arxiv.org/abs/1907.07525
Publikováno v:
SPIN, 2050001 (2019)
Nanomagnets with small shape anisotropy energy barriers on the order of the thermal energy have unstable magnetization that fluctuates randomly in time. They have recently emerged as promising hardware platforms for stochastic computing and machine l
Externí odkaz:
http://arxiv.org/abs/1906.00070
Publikováno v:
Phys. Rev. Applied 12, 034010 (2019)
Magneto-elastic (straintronic) switching of bistable magnetostrictive nanomagnets is an extremely energy-efficient switching methodology for (magnetic) binary switches that has recently attracted widespread attention because of its potential applicat
Externí odkaz:
http://arxiv.org/abs/1905.09322
Publikováno v:
Phys. Rev. Applied 11, 054069 (2019)
There is growing interest in exploring nanomagnetic devices as potential replacements for electronic devices (e.g. transistors) in digital switching circuits and systems. A special class of nanomagnetic devices are switched with electrically generate
Externí odkaz:
http://arxiv.org/abs/1902.03307
Autor:
Mondal, Sucheta, Abeed, Md Ahsanul, Dutta, Koustuv, De, Anulekha, Sahoo, Sourav, Barman, Anjan, Bandyopadhyay, Supriyo
Publikováno v:
ACS Applied Materials and Interfaces, 10, 43970 (2018)
Magneto-elastic (or "straintronic") switching has emerged as an extremely energy-efficient mechanism for switching the magnetization of magnetostrictive nanomagnets in magnetic memory, logic and non-Boolean circuits. Here, we investigate the ultrafas
Externí odkaz:
http://arxiv.org/abs/1811.11297