Experimental Validation of Switching Dependence of Nanoscale Y₂O₃ Memristors on Electrode Symmetry via Physical Electrothermal Modeling

Abstract

In this work, the impact of symmetric and asymmetric electrodes on the resistive switching (RS) behavior of the nanoscale Y 2 O 3 -based memristor is investigated with experiments. In addition, the extracted switching parameters are validated with systemic modeling. Memristor growth is deployed by utilizing a dual ion beam sputtering (DIBS) system, and simulation is carried out in a semiconductor physicsbased tool, i.e., COMSOL Multiphysics with a defined MATLAB script. The performed simulation work is based on the minimum free energy of the used materials at an applied certain voltage. The simulated results exhibit a stable pinched hysteresis loop in the RS responses either in symmetric or asymmetric electrode combinations with an efficient ON/ OFF current ratio and show a close match with the experimental results. Moreover, the simulated devices show synaptic plasticity functionalities in terms of potentiation and depression processes with an almost ideal linearity factor for both electrode combinations similar to the realistic experimental data. Therefore, the present work efficiently depicts the suitability of the electrode material with the Y 2 O 3 switching layer to enhance electrical performance to integrate into the artificial synapse and neuromorphic computations.

Control-Etched Ti3C2Tx MXene Nanosheets for a Low-Voltage-Operating Flexible Memristor for Efficient Neuromorphic Computation

“…Recently, research in the field of memristors is undergoing rapid advancements as scientists delve into novel materials, device architectures, and fabrication techniques to enhance performance and reliability. Various types of memristors based on oxides, , transition metal dichalcogenides (TMDCs), organics, composites, perovskites, , metal halides, and non-Newtonian fluids materials are being explored, with each offering unique characteristics and potential applications. To fully harness their potential and enable practical implementations in memory and computing systems, the development of memristor-based crossbar arrays and integrated circuits is crucial .…”