WS2 Optoelectronic Memristive Reservoir Enabling Ultra-Low-Power, Multi-Task, and Environmentally Stable Neuromorphic

Dayanand Kumar1, Hanrui Li1, Divyanshu Divyanshu2

  • 1Smart, Advanced Memory Devices and Applications (SAMA) Laboratory, Electrical and Computer Engineering, Computer Electrical Mathematical Science and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, Kingdom of Saudi Arabia.

Summary

We developed an ultra-low-power optoelectronic reservoir computing (RC) system using WS2/Zinc-Tin-Oxide (ZTO) memristors. This system achieves high accuracy in visual and speech tasks while consuming minimal energy, paving the way for efficient edge intelligence.

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