有机光电突触材料、器件及应用

随着大数据和物联网(IoTs)的迅猛发展,人工智能(AI)技术受到了广泛关注。可克服冯·诺依曼瓶颈和提高串行计算机性能的光电神经形态器件在半导体器件和集成电路领域的发展迅猛。光信号具有低功耗、低串扰、高带宽和低计算要求等优点,可视为额外端口以丰富突触可塑性的调节自由度。光电器件的光电性能在很大程度上依赖于光电材料的设计、制备。其中,有机材料具备分子多样性、成本低、易加工、机械柔韧性以及与柔性基板兼容等优点,是构建高性能光电突触器件的重要材料载体。本文从有机材料出发,介绍了其在光电器件和视觉仿生领域应用的最新进展,并讨论了当前的应用挑战和未来发展趋势。

Recent progress in optoelectronic neuromorphic devices

Rapid developments in artificial intelligence trigger demands for perception and learning of external environments through visual perception systems.Neuromorphic devices and integrated system with photosensing and response functions can be constructed to mimic complex biological visual sensing behaviors.Here,recent progresses on optoelectronic neuromorphic memristors and optoelectronic neuromorphic transistors are briefly reviewed.A variety of visual synaptic functions stimulated on optoelectronic neuromorphic devices are discussed,including light-triggered short-term plasticities,long-term plasticities,and neural facilitation.These optoelectronic neuromorphic devices can also mimic human visual perception,information processing,and cognition.The optoelectronic neuromorphic devices that simulate biological visual perception functions will have potential application prospects in areas such as bionic neurological optoelectronic systems and intelligent robots.

土木工程施工中建筑屋面防水施工技术分析

房屋建筑是土木工程的重点,渗漏问题一直以来都是建筑行业的亟待解决的难题,严重影响着建筑工程的质量。屋面防水是建筑防水的重点,当屋面发生渗漏问题时,表明防水层已损坏,一般情况下,屋面防水工程所设防水层不得少于两道,即建筑防水层、结构自防水层。但并非防水层设置越多就越防水,必须结合渗漏具体情况,查明原因,才能采取有针对性的措施进行处理,才能达到最佳防水效果。