Gd-Doped HfO<sub>2</sub> Memristor Device, Evaluation Robustness by Image Noise Cancellation and Edge Detection Filter for Neuromorphic Computing

oleh: Shubhro Chakrabartty, Suvojit Acharjee, Alaaddin Al-Shidaifat, Mainak Biswas, Hanjung Song

Format: Article
Diterbitkan: IEEE 2019-01-01

Deskripsi

This paper estimates the robustness of non-volatile device (NVM) Gadolinium (Gd) doped Hafnium oxide (HfO<sub>2</sub>)nanoparticles (NPs) based memristor which was constructed using as-formed and annealed nanoparticles in 600 &#x00B0;C and 800 &#x00B0;C temperature, based on their performance in various basic image processing applications (i.e. edge detection filter and noise-canceling filter). A catalytic free glancing angle deposition technique (GLAD) is employed to grow Gd doped HfO<sub>2</sub> nanoparticles (NPs) of 8 nm range on the thin film of Silicon oxide SiOx in 30 nm dimension. Annealing process is performed on Gd-doped HfO<sub>2</sub> NPs and and the changes were demonstrated in its surface morphology. The elemental composition of the device was analyzed by Energy Dispersive X-ray (EDX). Photoluminescence (PL) analysis revealed that the topography and electrical characteristics of Gd-doped HfO<sub>2</sub> alter swiftly after annealing process. A leakage current, interface state density (Dit) factor emphasizes that the device annealed at 600 &#x00B0;C portrayed significant improvement in the non-volatile characteristics in comparison with other devices. Additionally, the endurance of the device annealed at 600 &#x00B0;C was seen to possess more than decades of memory potential. The C-V and hysteresis curve measurement demonstrated maximal charge accumulation relative to other devices. Crossbar array is designed from both as-formed and annealed memristor devices.