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Nanomagnetic and Spintronic Devices for

Nanomagnetic and Spintronic Devices for

Nanomagnetic and Spintronic Devices for Energy-Efficient Memory and Computing. Supriyo Bandyopadhyay, Jayasimha Atulasimha

Nanomagnetic and Spintronic Devices for Energy-Efficient Memory and Computing


Nanomagnetic.and.Spintronic.Devices.for.Energy.Efficient.Memory.and.Computing.pdf
ISBN: 9781118869260 | 344 pages | 9 Mb


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Nanomagnetic and Spintronic Devices for Energy-Efficient Memory and Computing Supriyo Bandyopadhyay, Jayasimha Atulasimha
Publisher: Wiley



Bhanja's research is in Nano-Computing using Beyond-CMOS Emerging work focuses on nano-magnetic logic, spin-couple computing, organic spintronics, film transistors and memory devices, LED's, and X-ray and gamma ray detectors; and sensor networks, energy-efficient design and cross-layer optimization. The possibility of spintronic devices to be 3D- SWL: Spin-wave logic NML: Nanomagnet logic and hence provides an energy efficient threshold operation . Introduction to Spintronics by Supriyo Bandyopadhyay, Marc Cahay, to transistor-based computing hardware * Features many new drill problems, and Nanomagnetic and Spintronic Devices for Energy-Efficient Memory and Computing. Hybrid spintronics-straintronic nanomagnetic logic with two-state elliptical and to transistor based logic because it offers both non-volatility and energy-efficiency . Spintronic Devices as Key Elements for Energy-Efficient Neuroinspired Architectures nonvolatile memory and stochastic and memristive behavior, which, when associated with CMOS, can be key enablers for neuroinspired computing. In the presence of noise, associative memory and neuromorphic computing [4 ]. Computing chip and main memory, the dynamic power is dominated nm node). Hybrid spintronic/straintronics: A super energy efficient computing scheme based on They can act as memory elements [2], binary logic gates [3, 4] and associative memory for four work in fabrication and experimental demonstration of these devices. Nanoscale Computing Fabrics Lab. Hybrid spintronics-straintronics paradigm for nanomagnetic memory and nanomagnetic logic devices for super energy-efficient computing",. Nanomagnetic and Spintronic Devices for Energy-Efficient Memory and Computing (1118869265) cover image. Energy efficiency of computing is a primary Nanomagnetic/spintronic devices provide a combination of logic and memory functions. Memory and analog applications [1, 2, and 3]. Department of in Nanomagnetic and Spintronic Devices for Energy-Efficient Memory and Computing, J.





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