Hunan Key Laboratory of Nanophotonics and Devices, School of Physics and Electronics, Central South University, 932 South Lushan Road, Changsha, Hunan, 410083, P. R. China.
State Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing, 210023, P. R. China.
Adv Mater. 2023 Jun;35(26):e2212118. doi: 10.1002/adma.202212118. Epub 2023 May 11.
Visual adaptation allows organisms to accurately perceive the external world even in dramatically changing environments, from dim starlight to bright sunlight. In particular, polarization-sensitive visual adaptation can effectively process the polarized visual information that is ubiquitous in nature. However, such an intriguing characteristic still remains a great challenge in semiconductor devices. Herein, a novel porous metal-organic-framework phototransistor with anisotropic-ReS -based heterojunction is demonstrated for polarization-sensitive visual adaptation emulation. The device exhibits intriguing polarized sensitivity and an adaptive ability due to its strong anisotropic and trapping-detrapping characteristics, respectively. A series of polarization-sensitive neuromorphic behaviors like polarization-perceptual excitatory postsynaptic current, multimode adjustable dichroic ratio and reconfigurable sensory adaption, are experimentally demonstrated through this porous heterojunction phototransistor. More importantly, with the polarization-electricity cooperation strategy, advanced polarization-sensitive visual adaptation with strong bottom-gate control and environment dependence is successfully realized. These results represent a significant step toward the new generation of intelligent visual perception systems in autonomous navigation and human-machine interaction, etc.
视觉适应使生物体即使在环境剧烈变化的情况下，也能准确感知外部世界，从昏暗的星光到明亮的阳光。特别是，偏振敏感的视觉适应可以有效地处理自然界中普遍存在的偏振视觉信息。然而，这种引人入胜的特性在半导体器件中仍然是一个巨大的挑战。在此，展示了一种具有各向异性-ReS 基异质结的新型多孔金属有机框架光电晶体管，用于模拟偏振敏感的视觉适应。由于其强各向异性和捕获-释放特性，该器件表现出了有趣的偏振灵敏度和自适应能力。通过这种多孔异质结光电晶体管，实验证明了一系列的偏振敏感神经形态行为，如偏振感知兴奋性突触后电流、多模可调双折射比和可重构的感觉适应。更重要的是，通过偏振-电力协同策略，成功实现了具有强底栅控制和环境依赖性的先进偏振敏感视觉适应。这些结果代表了在自主导航和人机交互等领域中新一代智能视觉感知系统的重要进展。
