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인용수 5
·2024
Stabilizing Analog Signal Processing of Artificial Synapse Under Heat Fluctuations Through Light‐Temperature Antagonistic Operation
Diandian Chen, Yongsuk Choi, Chuan Qian, Dong Gue Roe, Hyungjin Kim, Sae Byeok Jo, Youngjae Yoo, Dongsheng Tang, Jeong Ho Cho
IF 19Advanced Functional Materials
초록

Abstract Data processing through artificial synapses is gaining attention owing to the emergence of neuromorphic computing. Analog processing via these synapses can simultaneously handle large volumes of data; however, it is susceptible to interference from various environmental factors. Specifically, temperature changes can significantly affect overall signal characteristics, leading to substantial errors. Herein, an organic heterojunction‐based artificial synapse is presented that is capable of light–temperature antagonistic operations. The properly aligned band structure and trap sites, which are facilitated by oxygen penetration, enable the implementation of controlled synaptic characteristics, depending on temperature and light conditions. An increase in temperature resulted in a thermally enhanced synaptic current, while light irradiation reduced the synaptic current, with the reduction degree being dependent on the light intensity. Finally, a biomimetic analog processor system capable of signal stabilization under drastic temperature changes is implemented. The artificial synapse, which operates using a light–temperature antagonistic operation, can significantly expand the potential applications of artificial intelligence hardware.

키워드
Materials scienceSynapseSIGNAL (programming language)Signal processingOptoelectronicsNanotechnologyBiological systemElectronic engineeringNeuroscienceComputer science
타입
article
IF / 인용수
19 / 5
게재 연도
2024