Amorphous BN-Based Synaptic Device with High Performance in Neuromorphic Computing
The von Neumann architecture has faced challenges requiring high-fulfillment levels due to the performance gap between its processor and memory. Among the numerous resistive-switching random-access memories, the properties of hexagonal boron nitride (BN) have been extensively reported, but those of...
Main Authors: | Juyeong Pyo, Junwon Jang, Dongyeol Ju, Subaek Lee, Wonbo Shim, Sungjun Kim |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-10-01
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Series: | Materials |
Subjects: | |
Online Access: | https://www.mdpi.com/1996-1944/16/20/6698 |
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