神经形态工程学
异质结
材料科学
光电子学
级联
计算机科学
化学
人工神经网络
人工智能
色谱法
作者
Peng Li,Xuanyu Shan,Ya Lin,Yi Du,Jiangang Ma,Zhongqiang Wang,Xiaoning Zhao,Ye Tao,Haiyang Xu,Yichun Liu
标识
DOI:10.1038/s41377-025-01897-9
摘要
Abstract 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 2 O 3 and oxygen-deficient hafnium oxide (GTO/Al/HfO x ) films. The built-in fields at the GTO/HfO x heterojunction and the Al/HfO x hole Schottky junction interfaces facilitate the separation of photogenerated carriers and the subsequent trapping of holes by the oxygen defects in the HfO x , respectively. The GTO/Al/HfO x optoelectronic synapses exhibit an ultrahigh responsivity of over 10 4 A/W and a large photo-to-dark current ratio of 6 × 10 5 , 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 x 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.
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