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February 5, 2026ACS Applied Materials & Interfaces2 citations

A Reconfigurable and Nonvolatile Optoelectronic Memtransistor with Ultralong Retention Time Based on In 2 Se 3 /Te van der Waals Heterostructure

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YZYumeng ZhouSXShengkai XiaLMLingshuo Meng

Key Points

  • This research aims to create a memtransistor that mimics synaptic behavior for use in neuromorphic computing.
  • Fabricated an In2Se3/Te van der Waals p-n junction memtransistor
  • Utilized electric and optoelectronic stimuli to modulate synaptic weights
  • Conducted image recognition using an artificial neural network for performance evaluation
  • Device exhibits nonvolatile retention times exceeding 10^5 seconds after light removal
  • Achieved 90.15% accuracy in image recognition with an artificial neural network
  • Maintained 70.38% accuracy under multilevel noise conditions

Abstract

Memtransistors with reconfigurable and nonvolatile properties can simulate a visual neural synapse and demonstrate great potential in overcoming challenges posed by the conventional von Neumann architecture. Here, we fabricated an indium selenide (In2Se3)/tellurene (Te) van der Waals p-n junction memtransistor that can exhibit significant artificial synaptic properties through electric and optoelectronic dual stimuli to modulate different synaptic weights. Such a device exhibits nonvolatile retention with an ultralong holding time exceeding 105 s after light removal. Benefiting from its dual modulation modes, three types of basic logic operations, and the typical Pavlov's dog experiment can be implemented, demonstrating the device's wide-ranging application potential. Furthermore, the Modified National Institute of Standards and Technology image recognition was performed via an artificial neural network, achieving 90.15% accuracy and maintaining an accuracy of 70.38% under multilevel noise. These results indicate that In2Se3/Te memtransistors are promising for developing brain-inspired and neuromorphic computing systems.

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Cite This Study

Zhou et al. (2026) studied this question.

synapsesocial.com/papers/69843433f1d9ada3c1fb2002https://doi.org/10.1021/acsami.5c21619
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