Chakrabartty Shubhro, Almawgani Abdulkarem H M, Kumar Sachin, Kumar Mayank, Acharjee Suvojit, Al-Shidaifat Alaaddin, Poulose Alwin, Alsuwian Turki
Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation University (K L College of Engineering), Vaddeswaram 522302, Andhra Pradesh, India.
Electrical Engineering Department, College of Engineering, Najran University, Najran 66439, Saudi Arabia.
Micromachines (Basel). 2023 Aug 16;14(8):1616. doi: 10.3390/mi14081616.
Memristive devices have garnered significant attention in the field of electronics over the past few decades. The reason behind this immense interest lies in the ubiquitous nature of memristive dynamics within nanoscale devices, offering the potential for revolutionary applications. These applications span from energy-efficient memories to the development of physical neural networks and neuromorphic computing platforms. In this research article, the angle toppling technique (ATT) was employed to fabricate titanium dioxide (TiO) nanoparticles with an estimated size of around 10 nm. The nanoparticles were deposited onto a 50 nm SiO thin film (TF), which was situated on an n-type Si substrate. Subsequently, the samples underwent annealing processes at temperatures of 550 °C and 950 °C. The structural studies of the sample were done by field emission gun-scanning electron microscope (FEG-SEM) (JEOL, JSM-7600F). The as-fabricated sample exhibited noticeable clusters of nanoparticles, which were less prominent in the samples annealed at 550 °C and 950 °C. The element composition revealed the presence of titanium (Ti), oxygen (O), and silicon (Si) from the substrate within the samples. X-ray diffraction (XRD) analysis revealed that the as-fabricated sample predominantly consisted of the rutile phase. The comparative studies of charge storage and endurance measurements of as-deposited, 550 °C, and 950 °C annealed devices were carried out, where as-grown device showed promising responses towards brain computing applications. Furthermore, the teaching-learning-based optimization (TLBO) technique was used to conduct further comparisons of results.
在过去几十年中,忆阻器件在电子领域引起了广泛关注。这种巨大兴趣背后的原因在于纳米级器件中忆阻动力学的普遍存在,为革命性应用提供了潜力。这些应用涵盖从节能存储器到物理神经网络和神经形态计算平台的开发。在这篇研究文章中,采用角度倾倒技术(ATT)制备了估计尺寸约为10纳米的二氧化钛(TiO)纳米颗粒。纳米颗粒沉积在位于n型硅衬底上的50纳米二氧化硅薄膜(TF)上。随后,样品在550°C和950°C的温度下进行退火处理。通过场发射枪扫描电子显微镜(FEG-SEM)(JEOL,JSM-7600F)对样品进行结构研究。制备的样品显示出明显的纳米颗粒簇,在550°C和950°C退火的样品中不太明显。元素组成表明样品中存在来自衬底的钛(Ti)、氧(O)和硅(Si)。X射线衍射(XRD)分析表明,制备的样品主要由金红石相组成。对沉积态、550°C和950°C退火器件的电荷存储和耐久性测量进行了比较研究,其中生长态器件对脑计算应用显示出有前景的响应。此外,使用基于教学学习的优化(TLBO)技术对结果进行进一步比较。