张晓宏教授、揭建胜教授、张秀娟教授合作在Nat. Commun.上发表论文

题目：

Anisotropic charge trapping in phototransistors unlocks ultrasensitive polarimetry for bionic navigation

作者：

Jing Pan^1#, Yiming Wu^2#, Xiujuan Zhang¹*, Jinhui Chen¹, Jinwen Wang¹, Shuiling Cheng¹, Xiaofeng Wu¹, Xiaohong Zhang¹*, Jiansheng Jie^1,3*

单位：

¹Institute of Functional Nano & Soft Materials (FUNSOM), Jiangsu Key Laboratory for Carbon-Based Functional Materials & Devices, Soochow University, Suzhou, Jiangsu 215123, P. R. China.

²Institute of Materials Research and Engineering, Agency for Science, Technology and Research (A*STAR), Singapore 138634, Singapore.

³Macao Institute of Materials Science and Engineering, Macau University of Science and Technology, Taipa, Macau SAR 999078, P. R. China.

摘要：

Being able to probe the polarization states of light is crucial for applications from medical diagnostics and intelligent recognition to information encryption and bio-inspired navigation. Current state-of-the-art polarimeters based on anisotropic semiconductors enable direct linear dichroism photodetection without the need for bulky and complex external optics. However, their polarization sensitivity is restricted by the inherent optical anisotropy, leading to low dichroic ratios of typically smaller than ten. Here, we unveil an effective and general strategy to achieve more than 2,000-fold enhanced polarization sensitivity by exploiting an anisotropic charge trapping effect in organic phototransistors. The polarization-dependent trapping of photogenerated charge carriers provides an anisotropic photo-induced gate bias for current amplification, which has resulted in a record-high dichroic ratio of >10⁴, reaching over the extinction ratios of commercial polarizers. These findings further enable the demonstration of an on-chip polarizer-free bionic celestial compass for skylight-based polarization navigation. Our results offer a fundamental design principle and an effective route for the development of next-generation highly polarization-sensitive optoelectronics.

影响因子：

14.919

分区情况：

一区

链接：

https://www.nature.com/articles/s41467-022-34421-3