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Peer-reviewedCC BY 4.0Journal of the American Chemical Society

Chemical Tuning of Charge Transport Polarity in Light-Emitting Transistors Enabling Neuromorphic Display, Computing, and Optocoupler

Abstract

Long-afterglow light-emitting transistors (LALETs) represent an efficient platform for neuromorphic computing by integrating in-memory processing, optical output, and noise-filtering functionality within a single device. Here, we have synthesized a series of donor–acceptor (D–A) conjugated copolymers comprising a diketopyrrolopyrrole (DPP) acceptor and oligo-thiophene (T) donors of tunable length to investigate the impact of charge-transport polarity on LALET performance. By terpolymerization, the D:A ratio was adjusted from 4:1 to 6:1, 8:1, and 12:1, yielding DPP4T, DPP6T, DPP8T, and DPP12T copolymers, respectively. Among them, DPP8T exhibited a favorable combination of high hole mobility (0.42 cm2 V–1 s–1) and strongly suppressed electron mobility, enabling high electroluminescence of 1189 cd m–2 while maintaining programming currents below 10 μA. The resulting LALET displayed dual operation mode, long-afterglow, and click-on upon employing the opposite gate stimuli. In long-afterglow mode, both electrical and optical postsynaptic signals enabled reservoir computing system with Fashion-MNIST recognition accuracies exceeding 90%. Furthermore, the intrinsic noise-filtering function of LALET emulated neuronal all-or-none firing, allowing a neuromorphic optocoupler to implement complex “stimulus-computing-decision-action” logic and to be used as the output layer for a reservoir computing framework toward a noise-filtering display. These results highlight the importance of the chemical modulation of the polarity in charge transport for high-performance neuromorphic devices.

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BibTeX
@article{chen2026chemical,
  title = {{Chemical Tuning of Charge Transport Polarity in Light-Emitting Transistors Enabling Neuromorphic Display, Computing, and Optocoupler}},
  author = {Yusheng Chen and Zhongshi Ju and Zheng Chen and Boyuan Yu and Yun Wang and Jin Li and Peng Li and Jiangang Ma and Paolo Samorì},
  journal = {Journal of the American Chemical Society},
  year = {2026},
  month = aug,
  doi = {10.1021/jacs.6c10068},
  url = {https://univoak.hal.science/hal-05740332v1},
  note = {CC BY 4.0},
}
RIS
TY  - JOUR
TI  - Chemical Tuning of Charge Transport Polarity in Light-Emitting Transistors Enabling Neuromorphic Display, Computing, and Optocoupler
AU  - Yusheng Chen
AU  - Zhongshi Ju
AU  - Zheng Chen
AU  - Boyuan Yu
AU  - Yun Wang
AU  - Jin Li
AU  - Peng Li
AU  - Jiangang Ma
AU  - Paolo Samorì
PY  - 2026
DA  - 2026/08/24
JO  - Journal of the American Chemical Society
DO  - 10.1021/jacs.6c10068
UR  - https://univoak.hal.science/hal-05740332v1
AB  - Long-afterglow light-emitting transistors (LALETs) represent an efficient platform for neuromorphic computing by integrating in-memory processing, optical output, and noise-filtering functionality within a single device. Here, we have synthesized a series of donor–acceptor (D–A) conjugated copolymers comprising a diketopyrrolopyrrole (DPP) acceptor and oligo-thiophene (T) donors of tunable length to investigate the impact of charge-transport polarity on LALET performance. By terpolymerization, the D:A ratio was adjusted from 4:1 to 6:1, 8:1, and 12:1, yielding DPP4T, DPP6T, DPP8T, and DPP12T copolymers, respectively. Among them, DPP8T exhibited a favorable combination of high hole mobility (0.42 cm2 V–1 s–1) and strongly suppressed electron mobility, enabling high electroluminescence of 1189 cd m–2 while maintaining programming currents below 10 μA. The resulting LALET displayed dual operation mode, long-afterglow, and click-on upon employing the opposite gate stimuli. In long-afterglow mode, both electrical and optical postsynaptic signals enabled reservoir computing system with Fashion-MNIST recognition accuracies exceeding 90%. Furthermore, the intrinsic noise-filtering function of LALET emulated neuronal all-or-none firing, allowing a neuromorphic optocoupler to implement complex “stimulus-computing-decision-action” logic and to be used as the output layer for a reservoir computing framework toward a noise-filtering display. These results highlight the importance of the chemical modulation of the polarity in charge transport for high-performance neuromorphic devices.
SN  - 0002-7863
SN  - 1520-5126
ER  -