神经形态工程学
长时程增强
突触
材料科学
计算机科学
突触可塑性
聚合物
共轭体系
纳米技术
光电子学
神经科学
人工神经网络
化学
人工智能
生物
生物化学
复合材料
受体
作者
Jun-Ho Sung,Sein Chung,Yongchan Jang,Hyoik Jang,Jiyeon Kim,Chan Lee,Donghwa Lee,Dongyeong Jeong,Kilwon Cho,Youn Sang Kim,Joonhee Kang,Won-Ho Lee,Eunho Lee
标识
DOI:10.1002/advs.202400304
摘要
Abstract Interest has grown in services that consume a significant amount of energy, such as large language models (LLMs), and research is being conducted worldwide on synaptic devices for neuromorphic hardware. However, various complex processes are problematic for the implementation of synaptic properties. Here, synaptic characteristics are implemented through a novel method, namely side chain control of conjugated polymers. The developed devices exhibit the characteristics of the biological brain, especially spike‐timing‐dependent plasticity (STDP), high‐pass filtering, and long‐term potentiation/depression (LTP/D). Moreover, the fabricated synaptic devices show enhanced nonvolatile characteristics, such as long retention time (≈10 2 s), high ratio of G max / G min , high linearity, and reliable cyclic endurance (≈10 3 pulses). This study presents a new pathway for next‐generation neuromorphic computing by modulating conjugated polymers with side chain control, thereby achieving high‐performance synaptic properties.
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