Publication

Semiconductor Materials and Devices Lab

Paper

  • 2023
  • Neuromorphic computing based on halide perovskites
  • Nature Electronics, 6, 949–962 (2023)
  • Maria Vasilopoulou*, Abd Rashid bin Mohd Yusoff*, Yang Chai, Michael-Alexandros Kourtis, Toshinori Matsushima, Nicola Gasparini, Rose Du, Feng Gao, Mohammad Khaja Nazeeruddin, Thomas D Anthopoulos*, Yong-Young Noh*
Neuromorphic Device Based on Solution-Processed WSe2 Nanoflake Synaptic Transistors
저자
Taoyu Zou , Chengpeng Jiang, Wentao Xu, Yong-Young Noh*
저널명
IEEE ELECTRON DEVICE LETTERS, 46, 5 (2025)
년도
2025

[Abstract]

Significant progress has been made in developing artificial synapses using transition metal dichalcogenides (TMDs)-based neuromorphic devices, but solution-processable TMDs remain underexplored, especially in utilizing intrinsic defects for synaptic functions. Here, we prepared electrochemically-exfoliated WSe2 nanoflakes with Se vacancies that enable charge trapping and detrapping. Using a solution-processed approach, we fabricated a high-performance WSe2 synaptic transistor with a large memory window, a significant trap density of 5 × 1012 cm−2 , and high operating stability. This synaptic transistor also successfully mimics various synaptic behaviors such as potentiation and depression, spikevoltage-dependent plasticity, and spike-number-dependent plasticity. By integrating the device with an infrared ranging sensor, the neuromorphic sensory system achieves 94.7% accuracy in object classification task, demonstrating its potential for advanced sensory processing.