2D Tellurene‐Based Optoelectronic Memristor with Temporal Dynamics for Multimodal Reservoir Computing System

Neuromorphic multimodal perception of sensory systems can integrate the stimulation from different senses, thus enhancing the perception accuracy of organisms to understand the external environment. An optoelectronic memristor with the capability to combine multidimensional sensing and processing functions is highly desirable for developing efficient neuromorphic multimodal sensory systems (MSSs). In this work, a tellurene (Te) nanoflake-based optoelectronic memristor relying on solution plasma process (SPP) treatment is demonstrated for the first time, which is capable of combining infrared (IR) optical and electrical stimuli in a single synaptic device for a multisensory integration function. The multimode switching mechanisms can be attributed to the migration of SPP-induced defects under an electric field and the charge trapping/detrapping in those defects under light illumination. Furthermore, a multimode reservoir computing (MRC) system is realized to perform pattern recognition tasks using the IR optical (1022 nm) and electrical stimulations, including the fusion of visual and haptic multimode sensory and physiological recognition tasks. The accuracy of pattern recognition using MRC is obviously enhanced compared to that of individual sensory. This work provides a new approach to developing multimodal 2D Te-based MRC for the construction of highly efficient neuromorphic MSSs.

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Publication Details

Journal
Advanced Science
Published
2025-09-04
DOI
https://doi.org/10.1002/advs.202513647
Citations
3
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
2.19

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article

2D Tellurene‐Based Optoelectronic Memristor with Temporal Dynamics for Multimodal Reservoir Computing System

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3 citations
Advanced Science
Advanced Memory and Neural Computing
2.19
article

2D Tellurene‐Based Optoelectronic Memristor with Temporal Dynamics for Multimodal Reservoir Computing System

Changhua Wang, Zhongqiang Wang, Jingyao Bian, Haiyang Xu, Zhuangzhuang Li, Shuang Liang, Ye Tao, Yongxing Zhu, Yichun Liu
article en
3 citations

Abstract

Neuromorphic multimodal perception of sensory systems can integrate the stimulation from different senses, thus enhancing the perception accuracy of organisms to understand the external environment. An optoelectronic memristor with the capability to combine multidimensional sensing and processing functions is highly desirable for developing efficient neuromorphic multimodal sensory systems (MSSs). In this work, a tellurene (Te) nanoflake-based optoelectronic memristor relying on solution plasma process (SPP) treatment is demonstrated for the first time, which is capable of combining infrared (IR) optical and electrical stimuli in a single synaptic device for a multisensory integration function. The multimode switching mechanisms can be attributed to the migration of SPP-induced defects under an electric field and the charge trapping/detrapping in those defects under light illumination. Furthermore, a multimode reservoir computing (MRC) system is realized to perform pattern recognition tasks using the IR optical (1022 nm) and electrical stimulations, including the fusion of visual and haptic multimode sensory and physiological recognition tasks. The accuracy of pattern recognition using MRC is obviously enhanced compared to that of individual sensory. This work provides a new approach to developing multimodal 2D Te-based MRC for the construction of highly efficient neuromorphic MSSs.

Advanced ScienceVol. 12(43)
Heilongjiang University of Science and Technology (CN), Northeast Normal University (CN)
National Natural Science Foundation of China, People's Government of Jilin Province, National Key Research and Development Program of China, National Science Fund for Distinguished Young Scholars
Openalex Percentile: Top 11%
Advanced Memory and Neural Computing
2.19
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