4.8 Article

Photoelectric Visual Adaptation Based on 0D-CsPbBr3-Quantum-Dots/2D-MoS2 Mixed-Dimensional Heterojunction Transistor

期刊

ADVANCED FUNCTIONAL MATERIALS
卷 31, 期 14, 页码 -

出版社

WILEY-V C H VERLAG GMBH
DOI: 10.1002/adfm.202010655

关键词

2D MoS2; heterojunction transistors; perovskite quantum dots; photoelectric visual adaptation

资金

  1. Central South University Research Fund for Innovation-driven program [2019CX024]
  2. Natural Science Foundation of Hunan Province [2018JJ3652]
  3. China Postdoctoral Science Foundation [2018M632985, 2018T110839]
  4. Fundamental Research Funds for the Central Universities of Central South University [2020zzts046]

向作者/读者索取更多资源

Adaptation is crucial for living systems, especially visual adaptation which helps organisms understand the real world better. Current adaptive devices face challenges, but utilizing photoelectric devices for biological visual adaptability could provide opportunities for bionic systems in complex environments.
Adaptation is the most common and basic feature of living systems, which gives species or individuals a survival advantage. In particular, visual adaptation can enable organisms with a clearer understanding of the real world, thereby avoiding potential harm, which is vital for the life activities of organisms. However, current adaptive devices based on logic circuits are still facing the great challenges for large-scale integration and limited bionic functions. Therefore, the hardware impleofmentation of biological visual adaptability through the emerging photoelectric devices may provide a great opportunity for the bionic systems facing complex environments. Here, a novel adaptive device based on a mixed-dimensional van der Waals heterostructure is fabricated by using a gate-modulated 0D-CsPbBr3-quantum-dots/2D-MoS2 heterostructure. The device has superior electric adaptabilities and excellent optical absorption abilities owing to its special energy-band structure. The key characteristics of biological adaptation, such as accuracy, sensitivity, inactivation, and desensitization behaviors, are successfully emulated in the device based on the unique trapping-detrapping mechanism. Most importantly, with a photoelectric synergy approach, the fascinating visual adaptation function based on an environment-adjustable threshold is finally demonstrated. These results indicate that the proposed device may be very promising for the future applications of artificial visual systems and intelligent bionic robots.

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