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

Jingyao Bian^1,2, Zhuangzhuang Li¹, Shuang Liang¹

¹State Key Laboratory of Integrated Optoelectronics, Key Laboratory of UV Light-Emitting Materials and Technology of Ministry of Education, Northeast Normal University, Changchun, Jilin, 130024, China.

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|September 5, 2025

Summary

Researchers developed a novel tellurene nanoflake optoelectronic memristor for enhanced neuromorphic multimodal sensory systems. This device integrates infrared optical and electrical stimuli, improving pattern recognition accuracy for multimodal sensory integration.

Keywords:

2D materials neuromorphic perception system optoelectronic memristor solution plasma process tellurene

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Area of Science:

Materials Science
Neuroscience
Optoelectronics

Background:

Neuromorphic multimodal sensory systems (MSSs) integrate diverse sensory inputs for enhanced environmental perception.
Optoelectronic memristors are crucial for developing efficient MSSs by combining sensing and processing.
Developing single devices for multisensory integration remains a significant challenge.

Purpose of the Study:

To demonstrate a novel tellurene (Te) nanoflake-based optoelectronic memristor for neuromorphic multimodal perception.
To investigate the multimode switching mechanisms of the device under optical and electrical stimuli.
To realize a multimode reservoir computing (MRC) system for pattern recognition tasks.

Main Methods:

Fabrication of tellurene nanoflake memristors using solution plasma process (SPP) treatment.
Characterization of device performance under infrared (IR) optical and electrical stimulation.
Implementation of a multimode reservoir computing system for pattern recognition and sensory fusion.

Main Results:

A novel optoelectronic memristor based on 2D tellurene nanoflakes was successfully fabricated.
The device exhibited dual switching mechanisms driven by electric fields and light illumination.
The developed MRC system demonstrated enhanced pattern recognition accuracy by fusing IR optical and electrical stimuli.

Conclusions:

The demonstrated tellurene-based optoelectronic memristor offers a new pathway for creating efficient neuromorphic multimodal sensory systems.
Multisensory integration using this device significantly improves perception and recognition capabilities.
This work advances the development of 2D material-based neuromorphic computing for advanced sensory applications.