Fuse Devices for Pruning in Memristive Neural Network

In this study, we developed a fuse device for pruning implementation in a hardware neural network. A line-shaped fuse device was fabricated with aluminum metal and characterized in a one fuse and one resistive random-access memory (1F1R) structure. A blow time of 0.4 μs and read endurance of >10...

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Veröffentlicht in:	IEEE electron device letters 2023-03, Vol.44 (3), p.1-1
Hauptverfasser:	Kim, Tae-Hyeon, Hong, Kyungho, Kim, Sungjoon, Park, Jinwoo, Youn, Sangwook, Lee, Jong-Ho, Park, Byung-Gook, Kim, Hyungjin, Choi, Woo Young
Format:	Artikel
Sprache:	eng
Schlagworte:	Aluminum Fuse device Fuses hardware neural network Microscopy network pruning Neural networks neuromorphic system Neuromorphics Performance evaluation Pruning Random access memory Resistance Scanning electron microscopy synaptic device
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