材料科学
晶体管
神经形态工程学
硅
光电子学
灵活性(工程)
纳米技术
GSM演进的增强数据速率
工程物理
计算机科学
电气工程
人工神经网络
电压
电信
工程类
机器学习
统计
数学
作者
Jiahao Zhu,Chen Liu,Ruiyi Gao,Yuming Zhang,Haonan Zhang,Shi‐Yuan Cheng,Dexing Liu,Jialiang Wang,Qi Liu,Zifan Wang,Xinwei Wang,Yufeng Jin,Min Zhang
标识
DOI:10.1002/adma.202413404
摘要
The increasing demand for mobile artificial intelligence applications has elevated edge computing to a prominent research area. Silicon materials, renowned for their excellent electrical properties, are extensively utilized in traditional electronic devices. However, the development of silicon materials for flexible neuromorphic computing devices encounters great challenges. To address these limitations, ultrasoft silicon nanomembranes have emerged as a focal point due to their capability to preserve the superior electrical properties of silicon while providing substantial mechanical flexibility and interfacial tunability. Despite these advantages, difficulties remain in the transfer process of silicon nanomembranes and their integration for flexible synaptic transistors. In this work, an organic-inorganic hybrid polyimide-Al
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