Wang Tao, Brivio Stefano, Cianci Elena, Wiemer Claudia, Perego Michele, Spiga Sabina, Lanza Mario
Institute of Functional Nano & Soft Materials, Collaborative Innovation Center of Suzhou Nano Science & Technology, Soochow University, 199 Ren-Ai Road, Suzhou 215123, China.
CNR - IMM, Unit of Agrate Brianza, Via C. Olivetti 2, Agrate Brianza 20864, Italy.
ACS Appl Mater Interfaces. 2022 Jun 1;14(21):24565-24574. doi: 10.1021/acsami.2c03364. Epub 2022 May 18.
Resistive switching (RS) devices with binary and analogue operation are expected to play a key role in the hardware implementation of artificial neural networks. However, state of the art RS devices based on binary oxides (e.g., HfO) still do not exhibit enough competitive performance. In particular, variability and yield still need to be improved to fit industrial requirements. In this study, we fabricate RS devices based on a TaO/HfO bilayer stack, using a novel methodology that consists of the in situ oxidation of a Ta film inside the atomic layer deposition (ALD) chamber in which the HfO film is deposited. By means of X-ray reflectivity (XRR) and time-of-flight secondary ion mass spectrometry (ToF-SIMS), we realized that the TaO film shows a substoichiometric structure, and that the TaO/HfO bilayer stack holds a well-layered structure. An exhaustive electrical characterization of the TaO/HfO-based RS devices shows improved switching performance compared to the single-layer HfO counterparts. The main advantages are higher forming yield, self-compliant switching, lower switching variability, enhanced reliability, and better synaptic plasticity.
具有二进制和模拟操作的电阻式开关(RS)器件有望在人工神经网络的硬件实现中发挥关键作用。然而,基于二元氧化物(如HfO)的现有RS器件仍未展现出足够的竞争性能。特别是,可变性和成品率仍需提高以满足工业需求。在本研究中,我们采用一种新颖的方法制造基于TaO/HfO双层堆叠的RS器件,该方法包括在沉积HfO薄膜的原子层沉积(ALD)腔内原位氧化Ta薄膜。通过X射线反射率(XRR)和飞行时间二次离子质谱(ToF-SIMS),我们发现TaO薄膜呈现亚化学计量结构,并且TaO/HfO双层堆叠具有良好的分层结构。对基于TaO/HfO的RS器件进行的详尽电学表征表明,与单层HfO对应器件相比,其开关性能有所改善。主要优点包括更高的形成成品率、自顺应开关、更低的开关可变性、更高的可靠性以及更好的突触可塑性。