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Using Programmable Graphene Channels as Weights in Spin-Diffusive Neuromorphic Computing
Jiaxi Hu
, Gordon Stecklein
, Yoska Anugrah
, Paul A. Crowell
, Steven J. Koester
Physics and Astronomy (Twin Cities)
Electrical and Computer Engineering
Research output
:
Contribution to journal
›
Article
›
peer-review
10
Scopus citations
Overview
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Keyphrases
Synapse
100%
Graphene
100%
Graphene Channels
100%
Neuromorphic Computing
100%
Neural Network
66%
Graphene-based Materials
66%
Spin Transport
33%
Relaxation Mechanism
33%
Magnetic Dynamics
33%
Circuit Simulation
33%
Spin Relaxation
33%
Total Energy Consumption
33%
Non-volatility
33%
Charge Domain
33%
Weighted Sums
33%
Nanomagnet
33%
Neuronal Synapses
33%
Spintronic Synapse
33%
Material Science
Graphene
100%
Neuromorphic Computing
100%
Electronic Circuit
33%
Spin Relaxation
16%
Engineering
Graphene
100%
Diffusive
100%
Magnetoelectronics
16%
Circuit Simulation
16%
Chemical Engineering
Graphene
100%
Neural Network
33%
Scalability
16%