Metal free all oxide SnOx/HfOx bilayer transristor synapse for neuromorphic computing

A Asutosh Patnaik (Department of Electrical and Electronics Engineering, C. V. Raman Global University 1 , Bhubaneswar 752054,) D Debashis Panda (Department of Electronics and Communication Engineering, C. V. Raman Global University 3 , Bhubaneswar 752054,) P Ping-Xing Chen N Narayan Sahoo (Department of Electronic Science, Berhampur University 2 , Berhampur, Odisha 760007,) T Tseung-Yuen Tseng (Institute of Electronics, National Yang Ming Chiao Tung University (NYCU) 3 , Hsinchu 30010,)

Abstract

Developing flexible and transparent memristors for emulating biological activities aligns with the growing demand for sustainable technologies in electronics. This paper presents the development and characterization of transparent memristors (transristors) on a flexible substrate, utilizing a structure of ITO/SnOx/HfOx/ITO/PEN. Hafnium oxide (HfOx) and tin oxide (SnOx) films are sequentially RF sputtered onto an indium doped tin oxide (ITO) bottom electrode, with polyethylene naphthalate serving as the flexible substrate. Then, an ITO top electrode is sputtered onto the SnOx layer using a shadow mask. Samples with varying thicknesses of HfOx and SnOx were prepared to optimize the device configuration. Electrical switching and synaptic characteristics of these samples were measured at room temperature, with a positive voltage applied to the top electrode and a negative voltage to the bottom electrode. This study identifies a configuration with 35 nm SnOx and 6 nm HfOx as the most effective, exhibiting excellent bipolar switching properties. Notably, it demonstrates low set/reset voltages of 1.3 and −1.6 V, with a compliance current of 100 μA. X-ray photoelectron spectroscopy was employed to assess the concentration of oxygen vacancies in the films. The device also shows the highest endurance up to 104 cycles, long-term potentiation/depression characteristics over 350 cycles, a good nonlinearity value of 1.53 (potentiation)/1.46 (depression), and 100% pattern recognition accuracy at just 14 iterations. Multi-state resistive switching characteristics were also explored. Obtained characteristics reveal that the optimized device could serve as a flexible component in making artificial synapses.

Article Details

Volume / Issue Vol. 137, Issue 11
Published March 21, 2025
ISSN 0021-8979
Publisher American Institute of Physics

Journal Info

Journal of Applied Physics

American Institute of Physics

ISSN: 0021-8979 Physical Sciences

Authors (5)

A

Asutosh Patnaik

Department of Electrical and Electronics Engineering, C. V. Raman Global University 1 , Bhubaneswar 752054,

D

Debashis Panda

Department of Electronics and Communication Engineering, C. V. Raman Global University 3 , Bhubaneswar 752054,

P

Ping-Xing Chen

N

Narayan Sahoo

Department of Electronic Science, Berhampur University 2 , Berhampur, Odisha 760007,

T

Tseung-Yuen Tseng

Institute of Electronics, National Yang Ming Chiao Tung University (NYCU) 3 , Hsinchu 30010,