Ultra-highly linear Ga2O3-based cascade heterojunctions optoelectronic synapse with thousands of conductance states for neuromorphic visual system
Ultrawide bandgap semiconductor optoelectronic synapses can perform high-parallel computing with a low false alarm rate, making them ideal for building deep-ultraviolet (DUV) neuromorphic visual system (NVS). However, the rapid carrier recombination in these optoelectronic synapses results in a poor number of conductance states and a low linear weight update protocol, consequently degrading the image recognition accuracy of DUV NVSs. This work proposes a type of cascade heterojunctions capable of finely tuning the dynamics of photogenerated carriers, utilizing aluminum interdigital electrodes sandwiched between tin-doped Ga<sub>2</sub>O<sub>3</sub> and oxygen-deficient hafnium oxide (GTO/Al/HfO<sub>x</sub>) films. The built-in fields at the GTO/HfO<sub>x</sub> heterojunction and the Al/HfO<sub>x</sub> hole Schottky junction interfaces facilitate the separation of photogenerated carriers and the subsequent trapping of holes by the oxygen defects in the HfO<sub>x</sub>, respectively. The GTO/Al/HfO<sub>x</sub> optoelectronic synapses exhibit an ultrahigh responsivity of over 10<sup>4</sup> A/W and a large photo-to-dark current ratio of 6 × 10<sup>5</sup>, which results in exceptional synaptic plasticity with unprecedented 4096 conductance states and excellent linearity with a fitting coefficient of 0.992. These attributes enable the GTO/Al/HfO<sub>x</sub> optoelectronic synapses to execute logical operations with fault-tolerance capability and to achieve high-accuracy fingerprint classification. The innovative cascade heterojunctions design, along with the elucidated carrier dynamics modulation mechanism, facilitates the development of DUV NVSs.
Authors
- Jiangang Ma (ORCID: https://orcid.org/0000-0002-8142-2410)
- Xiaoning Zhao (ORCID: https://orcid.org/0000-0002-0057-8609)
- Xuanyu Shan (ORCID: https://orcid.org/0000-0002-6161-7835)
- Peng Li (ORCID: https://orcid.org/0000-0002-3118-5592)
- Yi Du (ORCID: https://orcid.org/0000-0003-1932-6732)
- Haiyang Xu (ORCID: https://orcid.org/0000-0002-9457-4552)
- Ya Lin
- Ye Tao (ORCID: https://orcid.org/0000-0002-3760-7637)
- Zhongqiang Wang
- Yichun Liu
Institutions
- Northeast Normal University (CN)
Publication Details
- Journal
- Light Science & Applications
- Published
- 2025-09-30
- DOI
- https://doi.org/10.1038/s41377-025-01897-9
- Citations
- 1
- Primary Topic
- Advanced Memory and Neural Computing
- Type
- article
- Field-Weighted Citation Impact
- 0.73
Funders
- National Natural Science Foundation of China
- China Postdoctoral Science Foundation
- People's Government of Jilin Province