Impact of edge defects on the synaptic characteristic of a ferromagnetic domain-wall device and on on-chip learning
Topological-soliton-based devices, like the ferromagnetic domain-wall device, have been proposed as non-volatile memory (NVM) synapses in electronic crossbar arrays for fast and energy-efficient implementation of on-chip learning of neural networks (NN). High linearity and symmetry in the synaptic w...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
IOP Publishing
2023-01-01
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Series: | Neuromorphic Computing and Engineering |
Subjects: | |
Online Access: | https://doi.org/10.1088/2634-4386/acf0e4 |