Wang Lu, Yang Jing, Zhang Yukai, Wen Dianzhong
HLJ Province Key Laboratory of Senior-Education for Electronic Engineering, School of Electronic Engineering, Heilongjiang University, Harbin 150080, China.
Nanomaterials (Basel). 2021 Aug 11;11(8):2043. doi: 10.3390/nano11082043.
Nanocarbon materials have the advantages of biocompatibility, thermal stability and chemical stability and have shown excellent electrical properties in electronic devices. In this study, Al/MWCNT:GQD/ITO memristors with rewritable nonvolatile properties were prepared based on composites consisting of multiwalled carbon nanotubes (MWCNTs) and graphene quantum dots (GQDs). The switching current ratio of such a device can be tuned in two ways. Due to the ultraviolet light sensitivity of GQDs, when the dielectric material is illuminated by ultraviolet light, the charge capture ability of the GQDs decreases with an increasing duration of illumination, and the switching current ratio of the device also decreases with an increasing illumination duration (10-10). By exploiting the charge capture characteristics of GQDs, the trap capture level can be increased by increasing the content of GQDs in the dielectric layer. The switching current ratio of the device increases with increasing GQD content (10-10). The device can be programmed and erased more than 100 times; the programmable switching state can withstand 10 read pulses, and the retention time is more than 10 s. This memristor has a simple structure, low power consumption, and enormous application potential for data storage, artificial intelligence, image processing, artificial neural networks, and other applications.
纳米碳材料具有生物相容性、热稳定性和化学稳定性等优点,并且在电子器件中已展现出优异的电学性能。在本研究中,基于由多壁碳纳米管(MWCNTs)和石墨烯量子点(GQDs)组成的复合材料制备了具有可重写非易失性的Al/MWCNT:GQD/ITO忆阻器。这种器件的开关电流比可以通过两种方式进行调节。由于GQDs对紫外光敏感,当介电材料受到紫外光照射时,GQDs的电荷俘获能力会随着光照持续时间的增加而降低,器件的开关电流比也会随着光照持续时间的增加而降低(10-10)。通过利用GQDs的电荷俘获特性,可以通过增加介电层中GQDs的含量来提高陷阱俘获能级。器件的开关电流比随着GQD含量的增加而增大(10-10)。该器件可进行100多次编程和擦除;可编程开关状态可承受10次读取脉冲,保持时间超过10秒。这种忆阻器结构简单、功耗低,在数据存储、人工智能、图像处理、人工神经网络及其他应用方面具有巨大应用潜力。