在氮化镓光电器件中集成紫外线传感和记忆功能

IF 5.4 2区 医学 Q2 MATERIALS SCIENCE, BIOMATERIALS
Kuan-Chang Chang, Xibei Feng, Xinqing Duan, Huangbai Liu, Yanxin Liu, Zehui Peng, Xinnan Lin and Lei Li
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引用次数: 0

摘要

光电设备为模拟人类视觉系统提供了一条大有可为的途径。然而,现有的设备难以在消除外部刺激后保持光学图像信息,从而阻碍了图像感知和记忆的整合。光电存储器件的开发为弥合这一差距提供了可行的解决方案。同时,感知和存储紫外线(UV)图像的人工视觉尤为重要,因为紫外线携带着肉眼无法感知的信息。本研究介绍了一种基于氮化镓(GaN)的多层次紫外光电子存储器,它在单个器件中无缝集成了紫外光传感和存储功能。围绕源极和漏极区域嵌入的二氧化硅侧栅有效延长了光生载流子的寿命,实现了紫外信号在阈值电压和导通电流方面的双模存储。该光电存储器具有出色的稳健性,保持时间超过 4×104 秒,编程/消除周期超过 1×105。调节栅极电压可实现五种不同的存储状态,每种状态都具有出色的保持能力,并能有效调节擦除时间,实现快速擦除。此外,氮化镓光电存储器阵列的集成成功捕获并稳定存储特定紫外图像超过 7 天。这项研究标志着光电存储器取得了重大进展,展示了其在需要长时间保留的应用中的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Integrating ultraviolet sensing and memory functions in gallium nitride-based optoelectronic devices†

Integrating ultraviolet sensing and memory functions in gallium nitride-based optoelectronic devices†

Optoelectronic devices present a promising avenue for emulating the human visual system. However, existing devices struggle to maintain optical image information after removing external stimuli, preventing the integration of image perception and memory. The development of optoelectronic memory devices offers a feasible solution to bridge this gap. Simultaneously, the artificial vision for perceiving and storing ultraviolet (UV) images is particularly important because UV light carries information imperceptible to the naked eye. This study introduces a multi-level UV optoelectronic memory based on gallium nitride (GaN), seamlessly integrating UV sensing and memory functions within a single device. The embedded SiO2 side-gates around source and drain regions effectively extend the lifetime of photo-generated carriers, enabling dual-mode storage of UV signals in terms of threshold voltage and ON-state current. The optoelectronic memory demonstrates excellent robustness with the retention time exceeding 4 × 104 s and programming/erasing cycles surpassing 1 × 105. Adjusting the gate voltage achieves five distinct storage states, each characterized by excellent retention, and efficiently modulates erasure times for rapid erasure. Furthermore, the integration of the GaN optoelectronic memory array successfully captures and stably stores specific UV images for over 7 days. The study marks a significant stride in optoelectronic memories, showcasing their potential in applications requiring prolonged retention.

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来源期刊
ACS Biomaterials Science & Engineering
ACS Biomaterials Science & Engineering Materials Science-Biomaterials
CiteScore
10.30
自引率
3.40%
发文量
413
期刊介绍: ACS Biomaterials Science & Engineering is the leading journal in the field of biomaterials, serving as an international forum for publishing cutting-edge research and innovative ideas on a broad range of topics: Applications and Health – implantable tissues and devices, prosthesis, health risks, toxicology Bio-interactions and Bio-compatibility – material-biology interactions, chemical/morphological/structural communication, mechanobiology, signaling and biological responses, immuno-engineering, calcification, coatings, corrosion and degradation of biomaterials and devices, biophysical regulation of cell functions Characterization, Synthesis, and Modification – new biomaterials, bioinspired and biomimetic approaches to biomaterials, exploiting structural hierarchy and architectural control, combinatorial strategies for biomaterials discovery, genetic biomaterials design, synthetic biology, new composite systems, bionics, polymer synthesis Controlled Release and Delivery Systems – biomaterial-based drug and gene delivery, bio-responsive delivery of regulatory molecules, pharmaceutical engineering Healthcare Advances – clinical translation, regulatory issues, patient safety, emerging trends Imaging and Diagnostics – imaging agents and probes, theranostics, biosensors, monitoring Manufacturing and Technology – 3D printing, inks, organ-on-a-chip, bioreactor/perfusion systems, microdevices, BioMEMS, optics and electronics interfaces with biomaterials, systems integration Modeling and Informatics Tools – scaling methods to guide biomaterial design, predictive algorithms for structure-function, biomechanics, integrating bioinformatics with biomaterials discovery, metabolomics in the context of biomaterials Tissue Engineering and Regenerative Medicine – basic and applied studies, cell therapies, scaffolds, vascularization, bioartificial organs, transplantation and functionality, cellular agriculture
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