Organic Optoelectronic Synapses for Sound Perception

Yanan Wei; Youxing Liu; Qijie Lin; Tianhua Liu; Song Wang; Hao Chen; Congqi Li; Xiaobin Gu; Xin Zhang; Hui Huang

doi:10.1007/s40820-023-01116-3

Organic Optoelectronic Synapses for Sound Perception

Nanomicro Lett. 2023 May 24;15(1):133. doi: 10.1007/s40820-023-01116-3.

Authors

Yanan Wei¹, Youxing Liu², Qijie Lin¹, Tianhua Liu¹, Song Wang¹, Hao Chen¹, Congqi Li¹, Xiaobin Gu¹, Xin Zhang³, Hui Huang⁴

Affiliations

¹ College of Materials Science and Opto-Electronic Technology and Center of Materials Science and Optoelectronics Engineering, CAS Center for Excellence in Topological Quantum Computation, CAS Key Laboratory of Vacuum Physic, University of Chinese Academy of Sciences, Beijing, 100049, People's Republic of China.
² School of Materials Science and Engineering, Peking University, Beijing, 100871, People's Republic of China.
³ College of Materials Science and Opto-Electronic Technology and Center of Materials Science and Optoelectronics Engineering, CAS Center for Excellence in Topological Quantum Computation, CAS Key Laboratory of Vacuum Physic, University of Chinese Academy of Sciences, Beijing, 100049, People's Republic of China. zhangxin2019@ucas.ac.cn.
⁴ College of Materials Science and Opto-Electronic Technology and Center of Materials Science and Optoelectronics Engineering, CAS Center for Excellence in Topological Quantum Computation, CAS Key Laboratory of Vacuum Physic, University of Chinese Academy of Sciences, Beijing, 100049, People's Republic of China. huihuang@ucas.ac.cn.

Abstract

The neuromorphic systems for sound perception is under highly demanding for the future bioinspired electronics and humanoid robots. However, the sound perception based on volume, tone and timbre remains unknown. Herein, organic optoelectronic synapses (OOSs) are constructed for unprecedented sound recognition. The volume, tone and timbre of sound can be regulated appropriately by the input signal of voltages, frequencies and light intensities of OOSs, according to the amplitude, frequency, and waveform of the sound. The quantitative relation between recognition factor (ζ) and postsynaptic current (I = I_light - I_dark) is established to achieve sound perception. Interestingly, the bell sound for University of Chinese Academy of Sciences is recognized with an accuracy of 99.8%. The mechanism studies reveal that the impedance of the interfacial layers play a critical role in the synaptic performances. This contribution presents unprecedented artificial synapses for sound perception at hardware levels.

Keywords: Impedance spectroscopy; Interfacial layer; Organic optoelectronic synapse; Recognition factor; Sound perception.