Wan Xiang, Yan Jie, Wang Runfeng, Chen Kunfang, Ji Tingting, Chen Xin, Chen Lijian, Zhu Li, Khim Dongyoon, Yu Zhihao, Sun Liuyang, Sun Huabin, Tan Chee Leong, Xu Yong
College of Integrated Circuit Science and Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210023, China.
Guangdong Greater Bay Area Institute of Integrated Circuit and System, Guangzhou 510535, China.
J Phys Chem Lett. 2024 Oct 10;15(40):10162-10168. doi: 10.1021/acs.jpclett.4c02571. Epub 2024 Sep 30.
The integration of optoelectronic devices with reservoir computing offers a novel and effective approach to in-sensor computing. This work presents a hybrid digital-physical solution that leverages the high-performance poly[(bithiophene)-alternate-(2,5-di(2-octyldodecyl)-3,6-di(thienyl)-pyrrolyl pyrrolidone)] (DPPT-TT) organic polymer-based photodiodes for the hardware implementation of reservoir computing system. The photodiodes demonstrate nonlinear photoelectric responses, fading memory, and cyclical stability, in relation to the temporal information on light stimuli. These attributes enable effective mapping, historical context sensitivity, and consistent performance, with time-encoded inputs, which are particularly essential for accurate and continuous processing of time series data. The optoelectronic reservoir computing system with pulse width modulation (PWM) coding demonstrates impressive performance in the prediction of chaotic sequences, achieving a normalized root-mean-square error as low as 0.095 with optimized parameters. The DPPT-TT-based photodiodes and time-based coding offer a hardware-efficient solution for reservoir computing, significantly advancing Internet of Things applications.
将光电器件与储层计算相结合，为传感器内计算提供了一种新颖且有效的方法。这项工作提出了一种混合数字物理解决方案，该方案利用基于高性能聚[（联噻吩）-交替-（2,5-二（2-辛基十二烷基）-3,6-二（噻吩基）-吡咯基吡咯烷酮）]（DPPT-TT）有机聚合物的光电二极管来实现储层计算系统的硬件实现。这些光电二极管表现出与光刺激的时间信息相关的非线性光电响应、衰退记忆和循环稳定性。这些特性能够实现有效映射、历史上下文敏感性以及在时间编码输入下的一致性能，这对于准确且连续地处理时间序列数据尤为重要。具有脉宽调制（PWM）编码的光电储层计算系统在混沌序列预测中表现出令人印象深刻的性能，在优化参数的情况下，归一化均方根误差低至0.095。基于DPPT-TT的光电二极管和基于时间的编码为储层计算提供了一种硬件高效的解决方案，显著推动了物联网应用的发展。
