All‐Electrical Control of Spin Synapses for Neuromorphic Computing: Bridging Multi‐State Memory with Quantization for Efficient Neural Networks

The development of energy‐efficient, brain‐inspired neuromorphic computing demands advanced memory devices capable of mimicking synaptic behavior to achieve high accuracy and adaptability. In this study, three types of all‐electrically controlled, field‐free spin synapse devices designed with unique...

Full description

Saved in:

Bibliographic Details
Published in:	Advanced science Vol. 12; no. 22; pp. e2417735 - n/a
Main Authors:	Hsin, Tzu‐Chuan, Lin, Chun‐Yi, Wang, Po‐Chuan, Yang, Chun, Pai, Chi‐Feng
Format:	Journal Article
Language:	English
Published:	Germany John Wiley & Sons, Inc 01.06.2025 John Wiley and Sons Inc Wiley
Subjects:	Anisotropy Artificial intelligence field‐free switching neural network Neural networks neuromorphic computing perpendicular magnetic anisotropy Phase transitions Software spin‐orbit torques Symmetry Synapses spin‐orbit torques field‐free switching perpendicular magnetic anisotropy neural network neuromorphic computing
ISSN:	2198-3844, 2198-3844
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!