Organic Polymer-Based Photodiodes for Optoelectronic Reservoir Computing with Time-Based Coding
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.
Authors
- Runfeng Wang (ORCID: https://orcid.org/0009-0000-4705-8996)
- Tingting Ji (ORCID: https://orcid.org/0000-0002-9334-2717)
- Yong Xu (ORCID: https://orcid.org/0000-0002-6800-234X)
- Huabin Sun (ORCID: https://orcid.org/0000-0002-8465-7151)
- Jie Yan (ORCID: https://orcid.org/0000-0001-8012-5003)
- Lijian Chen (ORCID: https://orcid.org/0000-0001-8671-8766)
- Xiang Wan (ORCID: https://orcid.org/0000-0001-6085-0603)
- Dongyoon Khim
- Zhihao Yu (ORCID: https://orcid.org/0000-0002-9724-5033)
- Xin Chen (ORCID: https://orcid.org/0000-0003-1990-2058)
- Li Zhu (ORCID: https://orcid.org/0000-0003-1583-2670)
- Liuyang Sun (ORCID: https://orcid.org/0000-0001-9896-4382)
- Chee Leong Tan (ORCID: https://orcid.org/0000-0002-1350-3577)
- Kunfang Chen
Institutions
- Nanjing University of Posts and Telecommunications (CN)
- Shanghai Institute of Microsystem and Information Technology (CN)
- Guangdong Greater Bay Area Institute of Integrated Circuit and System
Publication Details
- Journal
- The Journal of Physical Chemistry Letters
- Published
- 2024-09-30
- DOI
- https://doi.org/10.1021/acs.jpclett.4c02571
- Citations
- 5
- Primary Topic
- Neural Networks and Reservoir Computing
- Type
- article
- Field-Weighted Citation Impact
- 1.74
Funders
- National Natural Science Foundation of China
- Nanjing University of Posts and Telecommunications
- Chinesisch-Deutsche Zentrum für Wissenschaftsförderung
- Key Technologies Research and Development Program of Guangzhou
- Special Project for Research and Development in Key areas of Guangdong Province