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Proceedings Paper

Emerging concepts in magnetic computing: from topological excitations to stochastic computing (Conference Presentation)
Author(s): Avik Ghosh

Paper Abstract

With increasing demand for low-power embedded electronics for Internet of Things (IoT) applications, nanomagnetic devices have emerged as strong potential candidates to complement present day electronics. A variety of novel switching effects such as Spin Transfer Torque (STT), Spin Orbit Torque (SOT) and Giant Spin Hall Effect (GSHE) offer complementary ways to manipulate nano-sized magnets. However, the low intrinsic energy cost of switching spins is often compromised by the energy consumed in the overhead circuitry in creating the necessary switching fields. In fact, the two major challenges are size scalability – limited by the superparamagnetic limit, and the energy-delay-reliability cost, limited by spin stagnation in STT devices and defect pinning in SOT driven domain wall devices. We discuss two possible alternatives that attempt to bypass these limits. Skyrmions stabilized in thin magnetic films can bypass the super-paramagnetic limit and carry information bits with added protection accorded by size and topological barrier. We present candidate ferrimagnetic materials with low saturation magnetization and damping needed to enable ultrafast room temperature soliton like skyrmion propagation. A different solution at a systems level is to design interconnected low-barrier soft magnets with controlled stochastic dynamics that can be used to realize analog or digital hardware neurons. We show how such analog neurons can directly implement Reservoir Computing for temporal inferencing, tracking and real time pattern recognition.

Paper Details

Date Published: 10 September 2019
Proc. SPIE 11090, Spintronics XII, 110903A (10 September 2019); doi: 10.1117/12.2530140
Show Author Affiliations
Avik Ghosh, Univ. of Virginia (United States)

Published in SPIE Proceedings Vol. 11090:
Spintronics XII
Henri-Jean M. Drouhin; Jean-Eric Wegrowe; Manijeh Razeghi, Editor(s)

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