Patil Pradnya P, Kundale Somnath S, Patil Shubham V, Sutar Santosh S, Bae Junseong, Kadam Sunil J, More Krantiveer V, Patil Prashant B, Kamat Rajanish K, Lee Seunghyun, Dongale Tukaram D
Computational Electronics and Nanoscience Research Laboratory, School of Nanoscience and Biotechnology, Shivaji University, Kolhapur, 416004, India.
Department of Electronic Engineering, Kyung Hee University, Yongin, 17107, Republic of Korea.
Small. 2023 Nov;19(46):e2303862. doi: 10.1002/smll.202303862. Epub 2023 Jul 14.
In recent years, many metal oxides have been rigorously studied to be employed as solid electrolytes for resistive switching (RS) devices. Among these solid electrolytes, lanthanum oxide (La O ) is comparatively less explored for RS applications. Given this, the present work focuses on the electrodeposition of La O switching layers and the investigation of their RS properties for memory and neuromorphic computing applications. Initially, the electrodeposited La O switching layers are thoroughly characterized by various analytical techniques. The electrochemical impedance spectroscopy (EIS) and Mott-Schottky techniques are probed to understand the in situ electrodeposition, RS mechanism, and n-type semiconducting nature of the fabricated La O switching layers. All the fabricated devices exhibit bipolar RS characteristics with excellent endurance and stable retention. Moreover, the device mimics the various bio-synaptic properties such as potentiation-depression, excitatory post-synaptic currents, and paired-pulse facilitation. It is demonstrated that the fabricated devices are non-ideal memristors based on double-valued charge-flux characteristics. The switching variation of the device is studied using the Weibull distribution technique and modeled and predicted by the time series analysis technique. Based on electrical and EIS results, a possible filamentary-based RS mechanism is suggested. The present results assert that La O is a promising solid electrolyte for memory and brain-inspired applications.
近年来,许多金属氧化物已被深入研究,以用作电阻式开关(RS)器件的固体电解质。在这些固体电解质中,氧化镧(La₂O₃)在RS应用方面的探索相对较少。鉴于此,本工作聚焦于氧化镧开关层的电沉积及其在存储器和神经形态计算应用中的RS特性研究。首先,通过各种分析技术对电沉积的氧化镧开关层进行了全面表征。利用电化学阻抗谱(EIS)和莫特-肖特基技术来理解所制备的氧化镧开关层的原位电沉积、RS机制和n型半导体性质。所有制备的器件均表现出具有优异耐久性和稳定保持性的双极RS特性。此外,该器件模拟了各种生物突触特性,如增强-抑制、兴奋性突触后电流和双脉冲易化。结果表明,所制备的器件是基于双值电荷通量特性的非理想忆阻器。利用威布尔分布技术研究了器件的开关变化,并通过时间序列分析技术进行了建模和预测。基于电学和EIS结果,提出了一种可能的基于丝状的RS机制。目前的结果表明,氧化镧是一种用于存储器和受脑启发应用的有前途的固体电解质。