activity
20192021
most citedSpintronics for neuromorphic computing

2 citations · 2 across the 3 of their papers we have counts for

collaborators

8 papers

cond-mat.mtrl-sci2021

Large Exotic Spin Torques in Antiferromagnetic Iron Rhodium

Jonathan Gibbons, Takaaki Dohi, Vivek P. Amin +16

Spin torque is a promising tool for driving magnetization dynamics for novel computing technologies. These torques can be easily produced by spin-orbit effects, but for most conven…

cond-mat.mes-hall2021

Emergent inductance by dynamical Aharonov-Casher phases

Yuta Yamane, Shunsuke Fukami, Jun'ichi Ieda

We propose a mechanism of inductance operation originating from a dynamical Aharonov-Casher (AC) phase of an electron in ferromagnets. By taking into account spin-orbit coupling ef…

cond-mat.mes-hall2021

Roadmap of spin-orbit torques

Qiming Shao, Peng Li, Luqiao Liu +16

Spin-orbit torque (SOT) is an emerging technology that enables the efficient manipulation of spintronic devices. The initial processes of interest in SOTs involved electric fields,…

cond-mat.mes-hall2020

Double Free-Layer Magnetic Tunnel Junctions for Probabilistic Bits

Kerem Y. Camsari, Mustafa Mert Torunbalci, William A. Borders +2

Naturally random devices that exploit ambient thermal noise have recently attracted attention as hardware primitives for accelerating probabilistic computing applications. One such…

cond-mat.mtrl-sci2020

Unconventional Hall effect and its variation with Co-doping in van der Waals Fe3GeTe2

Rajeswari Roy Chowdhury, Samik DuttaGupta, Chandan Patra +5

Two-dimensional (2D) van der Waals (vdW) magnetic materials have attracted a lot of attention owing to the stabilization of long-range magnetic order down to atomic dimensions, and…

physics.app-ph20202 cited

Spintronics for neuromorphic computing

J. Grollier, D. Querlioz, K. Y. Camsari +3

Neuromorphic computing uses brain-inspired principles to design circuits that can perform computational tasks with superior power efficiency to conventional computers. Approaches t…