Biodegradable and Flexible Polymer‐Based Memristor Possessing Optimized Synaptic Plasticity for Eco‐Friendly Wearable Neural Networks with High Energy Efficiency

Biodegradable and Flexible Polymer‐Based Memristor Possessing Optimized Synaptic Plasticity for Eco‐Friendly Wearable Neural Networks with High Energy Efficiency

Organic memristors are promising candidates for the flexible synaptic components of wearable intelligent systems. With heightened concerns for the environment, considerable effort has been made to develop organic transient memristors to realize eco‐friendly flexible neural networks. However, in the...

Full description

Bibliographic Details
Main Authors: Sungjun Oh, Hyungjin Kim, Seong Eun Kim, Min-Hwi Kim, Hea-Lim Park, Sin-Hyung Lee
Format: Article
Language:English
Published: Wiley 2023-05-01
Series:Advanced Intelligent Systems
Subjects:
artificial synapses
flexible memristors
neural networks
synaptic function
transient memristors
Online Access:https://doi.org/10.1002/aisy.202200272

Internet

https://doi.org/10.1002/aisy.202200272

Similar Items