材料科学
神经形态工程学
晶体管
跨导
稳健性(进化)
光电子学
电解质
离子液体
纳米技术
生物电子学
电压
可扩展性
计算机科学
电极
电气工程
人工神经网络
人工智能
化学
生物传感器
工程类
物理化学
催化作用
基因
数据库
生物化学
作者
Xi Zeng,Chung‐Kang Peng,Wen Shi,Shengjie Hu,Yu Cao,Huan Wei,Pingan Chen,Jiangnan Xia,Jiaqi Ding,Liang Yu,Zhenqi Gong,Huajie Chen,Naiyan Lu,Rong Li,Yuanyuan Hu
出处
期刊:Small methods
[Wiley]
日期:2025-05-13
卷期号:9 (10): e2500322-e2500322
被引量:4
标识
DOI:10.1002/smtd.202500322
摘要
Abstract Solid‐state organic electrochemical transistors (SS‐OECTs) are promising candidates for next‐generation wearable and bioelectronic applications due to their high transconductance and low‐voltage operation. However, conventional SS‐OECTs rely on ion gels with high ionic liquid concentrations, which compromise mechanical robustness and scalability. This study addresses these limitations by developing thin‐film OECTs (TF‐OECTs) using solid electrolytes with significantly reduced ionic liquid concentrations and introducing a doped organic semiconductor film (DOSCF) as an interlayer between the gate and electrolyte. This strategy enables TF‐OECTs to achieve film‐like mechanical properties while maintaining high performance, including a maximum transconductance ( g m ) of 5.05 mS, operational voltages below 1 V, and exceptional stability over 1000 switching cycles. The devices also exhibit superior flexibility, enduring over 2000 bending cycles with minimal performance degradation. Their potential is demonstrated in ferric ion sensing, achieving an ultralow detection limit of 15 n m with a high selectivity of 0.7 mA dec −1 , and in neuromorphic computing, where they emulate synaptic behaviors and achieve a 96.7% image recognition accuracy after training with artificial neural networks (ANN). These results highlight the transformative potential of TF‐OECTs for integration into advanced, multifunctional electronic systems, combining high performance, mechanical robustness, and scalability.
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