activity
20072022
most citedRoadmap of spin-orbit torques

597 citations · 4.3k across the 121 of their papers we have counts for

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Showing 2014Show all

7 papers · 1 filter

cs.ET2014★ 75 cited

STT-SNN: A Spin-Transfer-Torque Based Soft-Limiting Non-Linear Neuron for Low-Power Artificial Neural Networks

Deliang Fan, Yong Shim, Anand Raghunathan +1

Recent years have witnessed growing interest in the use of Artificial Neural Networks (ANNs) for vision, classification, and inference problems. An artificial neuron sums N weighte…

cs.ET2014★ 88 cited

Spin-Orbit Torque Induced Spike-Timing Dependent Plasticity

Abhronil Sengupta, Zubair Al Azim, Xuanyao Fong +1

Nanoelectronic devices that mimic the functionality of synapses are a crucial requirement for performing cortical simulations of the brain. In this work we propose a ferromagnet-he…

cond-mat.mes-hall2014★ 21 cited

Exploring Spin-Transfer-Torque Devices for Logic Applications

Zoha Pajouhi, Swagath Venkataramani, Karthik Yogendra +2

As CMOS nears the end of the projected scaling roadmap, significant effort has been devoted to the search for new materials and devices that can realize memory and logic. Spintroni…

cond-mat.mtrl-sci2014★ 12 cited

Laser Induced Magnetization Reversal for Detection in Optical Interconnects

Zubair Al Azim, Xuanyao Fong, Thomas Ostler +2

Optical interconnect has emerged as the front-runner to replace electrical interconnect especially for off-chip communication. However, a major drawback with optical interconnects…

cs.ET2014★ 86 cited

Spin Orbit Torque Based Electronic Neuron

Abhronil Sengupta, Sri Harsha Choday, Yusung Kim +1

A device based on current-induced spin-orbit torque (SOT) that functions as an electronic neuron is proposed in this work. The SOT device implements an artificial neuron's threshol…

cs.ET2014★ 67 cited

Hierarchical Temporal Memory Based on Spin-Neurons and Resistive Memory for Energy-Efficient Brain-Inspired Computing

Deliang Fan, Mrigank Sharad, Abhronil Sengupta +1

Hierarchical temporal memory (HTM) tries to mimic the computing in cerebral-neocortex. It identifies spatial and temporal patterns in the input for making inferences. This may requ…