Ge Mingwei, Yao Yuan, Wang Tyler, Mukherjee Subhrangsu, Ade Harald, Liu Mengxia
Department of Electrical & Computer Engineering, Yale University, New Haven, CT, USA.
Energy Sciences Institute, Yale University, West Haven, CT, USA.
Nat Commun. 2025 Jul 1;16(1):5603. doi: 10.1038/s41467-025-60914-y.
Decoding arbitrary polarization information in a cost-effective way is a key target for next-generation optical sensing. However, the design of full-Stokes detectors capable of resolving polarization states in a single shot remains challenging. Here we introduce GOStokes, an approach that leverages heterogeneous grain orientation in solution-processed metal halide semiconductors to extract Stokes parameters in a single measurement. By developing polycrystalline films exhibiting strong inherent circular and linear dichroism, we harness randomly oriented grains to produce varied polarization selectivity across the spatial domain. Integrating these films as multi-channel optical filters with commercial cameras enables real-time polarimetric detection and imaging, each generating a transmission map from a single exposure. Using deep learning, GOStokes precisely determines arbitrary polarization states with an averaged mean absolute error below 1%. Our demonstration underscores the potential of combining low-cost, scalable, polycrystalline films with reconstruction algorithms for advanced polarimetric applications.
以经济高效的方式解码任意偏振信息是下一代光学传感的关键目标。然而,能够单次分辨偏振态的全斯托克斯探测器的设计仍然具有挑战性。在此,我们介绍了GOStokes,这是一种利用溶液处理的金属卤化物半导体中的异质晶粒取向在单次测量中提取斯托克斯参数的方法。通过开发表现出强烈固有圆二色性和线性二色性的多晶薄膜,我们利用随机取向的晶粒在空间域中产生不同的偏振选择性。将这些薄膜作为多通道光学滤波器与商用相机集成,可实现实时偏振检测和成像,每次单次曝光均可生成透射图。利用深度学习,GOStokes能够精确确定任意偏振态,平均绝对误差低于1%。我们的演示强调了将低成本、可扩展的多晶薄膜与重建算法相结合用于先进偏振应用的潜力。