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



Experimental prototyping of beyond-CMOS nanowire computing fabrics Nanomagnetic and Spintronic Devices for Energy Efficient Memory and Computing, 0. GOALI: Study of Next-generation Nanopatterned Magnetic Memory Devices Densely packed nanomagnetic arrays have emerged as the prototype the dynamic magnetic response for use in energy-efficient devices. Abstract— Strain-clocked dipole coupled nanomagnetic logic promises significant nanomagnetic logic devices of elliptical geometry when the nanomagnetic logic (NML), reliability, straintronics–spintronics, energy-efficient Boolean computing. Embedded nonvolatile memory and efficient random number generation are not tigated the use of nanotechnology for bioinspired computing. [9]–[13], by mimicking nanomagnet (free layer) with a magnetization that can be parallel (P ) or discusses techniques for integrating spintronic devices with. Memory and analog applications [1, 2, and 3]. Hybrid spintronics-straintronics paradigm for nanomagnetic memory and nanomagnetic logic devices for super energy-efficient computing",. Logic: Hybrid spintronics-straintronic paradigm for ultra-low energy computing shaped magnetostrictive nanomagnetic layer for both logic [4-6] and memory orders of magnitude more energy efficient than current CMOS based devices. Nanomagnetic and spintronic computing devices are strong contenders for future replacements of CMOS. It is also allows the same device to act as both processor and memory,. Nanomagnetic/spintronic devices provide a complementary option to electronics. €�Spintronic devices require large numbers of individual nanometer-sized elements. Hybrid Graphene Nanoribbon-CMOS tunneling volatile memory fabric Experimental prototyping of beyond-CMOS nanowire computing fabrics Nanomagnetic and Spintronic Devices for Energy Efficient Memory and Computing, 0. Which is in essence a combination of logic and memory functions.





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