Luo Jiangshuai, Jiang Jili, Ding Ke, Ye Lijuan, Pang Di, Li Honglin, Zhang Hong, Tang Yan, Li Wanjun
Chongqing Key Laboratory of Photo-Electric Functional Materials and Laser Technology, College of Physics and Electronic Engineering, Chongqing Normal University, Chongqing, 401331, P. R. China.
Small Methods. 2025 Jul;9(7):e2401473. doi: 10.1002/smtd.202401473. Epub 2024 Dec 11.
The continuous advancements in ultraviolet-C (UV-C) optoelectronics are poised to meet the growing demand for efficient and innovative optoelectronic devices, particularly in image sensing and neural communication. This study proposes a low-cost tube sealing and muffle calcination process for the catalyst-free synthesis of polymorphic β-GaO nanomaterials. These nanomaterials are synthesized via a vapor-solid (VS) growth mechanism, enabling the formation of high-quality nanowires (NWs), nanobelts (NBs), and nanosheets (NSs). UV-C photodetectors (PDs) fabricated with β-GaO nanobelts demonstrated exceptional performance, exhibiting a responsivity of 4.62 × 10 A W and a specific detectivity of 4.78 × 10 Jones under 254 nm light. This PD enabled high-sensitivity and high-contrast UV-C imaging, effectively capturing the letters "CNU" and a "Panda" pattern. Additionally, the β-GaO nanowire-based optoelectronic synapse (OES) device displayed efficient light sensing and significant persistent photoconductivity, accurately mimicking synaptic behaviors such as short-term to long-term memory transitions and memory reinforcement. The OES device is successfully integrated into a wireless optical communication system, effectively simulating neural signal transmission by outputting the current waveform signal of "CNU 1954" and exhibiting notable UV-C light sensing and learning abilities. This work not only introduces a method for synthesizing polymorphic β-GaO nanomaterials but also underscores their potential in advanced UV-C optoelectronic applications, including image sensing and neural communication.