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Broadband All-Optical Memtransistor Based on Organic Cocrystals for Noise-Robust Motion Recognition
Zhaohui Cai1,2,3, Yuxiao Fang1, Wenjie Du4
1School of Advanced Technology, Xi'an Jiaotong-Liverpool University, Suzhou, 215123, P. R. China.
Advanced Science (Weinheim, Baden-Wurttemberg, Germany)
|December 2, 2025
Summary
Researchers developed a broadband all-optical synaptic memtransistor using organic charge transfer cocrystals. This device offers tunable synaptic weights for efficient and noise-resilient neuromorphic computing applications.
Area of Science:
- Materials Science
- Neurotechnology
- Organic Electronics
Background:
- All-optical artificial synaptic devices are crucial for neuromorphic computing.
- Current devices face limitations in spectral tunability and plasticity linearity.
Purpose of the Study:
- To develop a broadband all-optical synaptic memtransistor with enhanced spectral tunability and plasticity linearity.
- To demonstrate its application in a neuromorphic computing network.
Main Methods:
- Fabrication of a memtransistor using DTT-TCNQ organic charge transfer cocrystals.
- Characterization of light-driven synaptic weight modulation across a wide wavelength range (395-808 nm).
- Integration into a convolutional neural long short-term memory (CNN-LSTM) network for performance evaluation.
Main Results:
- Achieved fully light-driven, reversible modulation of synaptic weights with broadband spectral tunability.
- Demonstrated highly linear long-term potentiation and depression (LTP/LTD) with ultralow nonlinearity and asymmetry.
- The integrated device achieved 98.77% accuracy in 6 epochs, showing robust performance under spatiotemporal noise.
Conclusions:
- The DTT-TCNQ synaptic memtransistor overcomes limitations of previous devices, offering superior linearity and spectral tunability.
- The device enables energy-efficient, noise-resilient neuromorphic vision systems.
- This work provides a scalable material-level innovation for advanced computing architectures.
