生物电子学
神经形态工程学
材料科学
跨导
晶体管
阈值电压
光电子学
数码产品
放大器
电压
振荡(细胞信号)
有机电子学
信号(编程语言)
纳米技术
晶体管阵列
噪音(视频)
宽动态范围
动态范围
柔性电子器件
噪声裕度
电子工程
过驱动电压
功率(物理)
低压
偏压
共形矩阵
CMOS芯片
高动态范围
计算机科学
作者
Zhongliang Zhou,Qiang He,Cindy G. Tang,Kunqi Hou,Jun Yang,Christina J. Kousseff,Iain McCulloch,Wei Lin Leong
出处
期刊:ACS Nano
[American Chemical Society]
日期:2025-10-27
卷期号:19 (43): 37865-37878
标识
DOI:10.1021/acsnano.5c11528
摘要
Organic electrochemical transistors (OECTs) have emerged as versatile tools in areas such as bioelectronics, wearable devices, and neuromorphic computing. Their advantages include excellent transconductance, low power requirements, and adaptability to different substrates, making them ideal for diverse applications. The control of threshold voltage (Vth) is important for reducing power consumption and enhancing noise margin in complementary circuits. Furthermore, a wide range of Vth tuning can induce transitions between the depletion mode and accumulation mode, which is particularly helpful for generating spiking and nonlinear dynamics for building artificial spiking neurons. However, only a small category of conjugated polymers can be cycled stably and reversibly between a highly doped state and a dedoped state in aqueous electrolytes. Here, we demonstrate the use of different anions to induce threshold voltage shift from -0.16 V to +0.29 V, while maintaining high transconductance (>7 mS), high ON/OFF ratio (>105) and negligible current degradation for over 10,000 cycles. The dynamic tunability in Vth allows a single OECT to have different operating modes and voltage windows, enabling multifunctional devices. We successfully demonstrate a zero-gate biased voltage amplifier for high-performing electrophysiological signal recording (electrocardiography, electromyography, and electrooculography), complementary inverters with high gain and full rail-to-rail swing, as well as organic artificial spiking neurons that display S-shaped negative differential resistance with oscillation functionality and mimicking human neurobiological functions via integration with tactile and photosensors. Our approach offers a straightforward method to tailor OECTs via anion selection, advancing low-power bioelectronics and neuromorphic systems.
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