Wang Le, Wang Haotian, Liu Jing, Wang Yiru, Shao He, Li Wen, Yi Mingdong, Ling Haifeng, Xie Linghai, Huang Wei
State Key Laboratory of Organic Electronics and Information Displays & Institute of Advanced Materials (IAM), Nanjing University of Posts & Telecommunications (NUPT), Nanjing, 210023, China.
Frontiers Science Center for Flexible Electronics (FSCFE), MIIT Key Laboratory of Flexible Electronics (KloFE), Northwestern Polytechnical University (NPU), Xi'an, 710072, China.
Adv Mater. 2024 Sep;36(38):e2403538. doi: 10.1002/adma.202403538. Epub 2024 Jul 23.
Visuomorphic computing aims to simulate and potentially surpass the human retina by mimicking biological visual perception with an artificial retina. Despite significant progress, challenges persist in perceiving complex interactive environments. Negative photoconductivity transistors (NPTs) mimic synaptic behavior by achieving adjustable positive photoconductivity (PPC) and negative photoconductivity (NPC), simulating "excitation" and "inhibition" akin to sensory cell signals. In complex interactive environments, NPTs are desired for visuomorphic computing that can achieve a better sense of information, lower power consumption, and reduce hardware complexity. In this review, it is started by introducing the development process of NPTs, while placing a strong emphasis on the device structures, working mechanisms, and key performance parameters. The common material systems employed in NPTs based on their functions are then summarized. Moreover, it is proceeded to summarize the noteworthy applications of NPTs in optoelectronic devices, including advanced multibit nonvolatile memory, optoelectronic logic gates, optical encryption, and visual perception. Finally, the challenges and prospects that lie ahead in the ongoing development of NPTs are addressed, offering valuable insights into their applications in optoelectronics and a comprehensive understanding of their significance.
视觉形态计算旨在通过人工视网膜模拟生物视觉感知,从而模拟并可能超越人类视网膜。尽管取得了重大进展,但在感知复杂的交互环境方面仍存在挑战。负光电导晶体管(NPT)通过实现可调节的正光电导(PPC)和负光电导(NPC)来模拟突触行为,类似于感觉细胞信号模拟“兴奋”和“抑制”。在复杂的交互环境中,视觉形态计算需要NPT,以实现更好的信息感知、更低的功耗并降低硬件复杂性。在这篇综述中,首先介绍了NPT的发展过程,同时重点强调了器件结构、工作机制和关键性能参数。然后根据其功能总结了NPT中常用的材料系统。此外,还总结了NPT在光电器件中的显著应用,包括先进的多位非易失性存储器、光电子逻辑门、光学加密和视觉感知。最后,探讨了NPT当前发展中面临的挑战和前景,为其在光电子学中的应用提供了有价值的见解,并全面理解了它们的重要性。