Zhang Dehui, Xu Dong, Li Yuhang, Luo Yi, Hu Jingtian, Zhou Jingxuan, Zhang Yucheng, Zhou Boxuan, Wang Peiqi, Li Xurong, Bai Bijie, Ren Huaying, Wang Laiyuan, Zhang Ao, Jarrahi Mona, Huang Yu, Ozcan Aydogan, Duan Xiangfeng
Department of Chemistry and Biochemistry, University of California, Los Angeles, CA, USA.
Department of Materials Science and Engineering, University of California, Los Angeles, CA, USA.
Nat Commun. 2024 Mar 18;15(1):2433. doi: 10.1038/s41467-024-46387-5.
Nonlinear optical processing of ambient natural light is highly desired for computational imaging and sensing. Strong optical nonlinear response under weak broadband incoherent light is essential for this purpose. By merging 2D transparent phototransistors (TPTs) with liquid crystal (LC) modulators, we create an optoelectronic neuron array that allows self-amplitude modulation of spatially incoherent light, achieving a large nonlinear contrast over a broad spectrum at orders-of-magnitude lower intensity than achievable in most optical nonlinear materials. We fabricated a 10,000-pixel array of optoelectronic neurons, and experimentally demonstrated an intelligent imaging system that instantly attenuates intense glares while retaining the weaker-intensity objects captured by a cellphone camera. This intelligent glare-reduction is important for various imaging applications, including autonomous driving, machine vision, and security cameras. The rapid nonlinear processing of incoherent broadband light might also find applications in optical computing, where nonlinear activation functions for ambient light conditions are highly sought.
对于计算成像和传感而言，外界自然光的非线性光学处理非常必要。在弱宽带非相干光下具有强烈的光学非线性响应对于此目的至关重要。通过将二维透明光电晶体管（TPT）与液晶（LC）调制器相结合，我们创建了一个光电神经元阵列，该阵列允许对空间非相干光进行自振幅调制，在比大多数光学非线性材料可实现的强度低几个数量级的情况下，在宽光谱范围内实现大的非线性对比度。我们制作了一个由10000个像素组成的光电神经元阵列，并通过实验证明了一种智能成像系统，该系统能够立即减弱强光眩光，同时保留手机摄像头捕捉到的较弱强度物体。这种智能减眩光功能对于包括自动驾驶、机器视觉和安全摄像头在内的各种成像应用都很重要。非相干宽带光的快速非线性处理也可能在光学计算中找到应用，在光学计算中，非常需要适用于环境光条件的非线性激活函数。
