activity
20172023
most citedLow-Energy Truly Random Number Generation with Superparamagnetic Tunnel Junctions for Unconventional Computing

175 citations · 648 across the 29 of their papers we have counts for

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Showing 2020Show all

7 papers · 1 filter

cs.NE2020★ 1 cited

Domain Wall Leaky Integrate-and-Fire Neurons with Shape-Based Configurable Activation Functions

Wesley H. Brigner, Naimul Hassan, Xuan Hu +7

Complementary metal oxide semiconductor (CMOS) devices display volatile characteristics, and are not well suited for analog applications such as neuromorphic computing. Spintronic…

cond-mat.mes-hall2020★ 61 cited

Domain Wall-Magnetic Tunnel Junction Spin Orbit Torque Devices and Circuits for In-Memory Computing

Mahshid Alamdar, Thomas Leonard, Can Cui +8

There are pressing problems with traditional computing, especially for accomplishing data-intensive and real-time tasks, that motivate the development of in-memory computing device…

cs.ET2020

Threshold Logic with Current-Driven Magnetic Domain Walls

Xuan Hu, Brighton A. Hill, Felipe Garcia-Sanchez +1

The recent demonstration of current-driven magnetic domain wall logic [Z. Luo et al., Nature 579:214] was based on a three-input logic gate that was identified as a reconfigurable…

cs.NE2020★ 2 cited

Unsupervised Competitive Hardware Learning Rule for Spintronic Clustering Architecture

Alvaro Velasquez, Christopher H. Bennett, Naimul Hassan +5

We propose a hardware learning rule for unsupervised clustering within a novel spintronic computing architecture. The proposed approach leverages the three-terminal structure of do…

cs.NE2020★ 7 cited

Reservoir Computing with Planar Nanomagnet Arrays

Peng Zhou, Nathan R. McDonald, Alexander J. Edwards +3

Reservoir computing is an emerging methodology for neuromorphic computing that is especially well-suited for hardware implementations in size, weight, and power (SWaP) constrained…

cs.NE2020★ 3 cited

CMOS-Free Multilayer Perceptron Enabled by Four-Terminal MTJ Device

Wesley H. Brigner, Naimul Hassan, Xuan Hu +5

Neuromorphic computing promises revolutionary improvements over conventional systems for applications that process unstructured information. To fully realize this potential, neurom…

cs.ET2020★ 16 cited

Hybrid Pass Transistor Logic with Ambipolar Transistors

Xuan Hu, Amy S. Abraham, Jean Anne C. Incorvia +1

In comparison to the conventional complementary pull-up and pull-down logic structure, the pass transistor logic (PTL) family reduces the number of transistors required to perform…