1. Investigation of $I-V$ Linearity in TaOx-Based RRAM Devices for Neuromorphic Applications
- Author
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Changhyuck Sung, Andrea Padovani, Bastien Beltrando, Donguk Lee, Myunghoon Kwak, Seokjae Lim, Luca Larcher, Vincenzo Della Marca, and Hyunsang Hwang
- Subjects
I–V linearity ,neuromorphic system ,resistive switching memory (RRAM) ,TaOₓ ,Electrical engineering. Electronics. Nuclear engineering ,TK1-9971 - Abstract
We perform experiments and device simulations to investigate the origin of current-voltage (I-V) linearity of TaOX-based resistive switching memory (RRAM) devices for their possible application as electronic synapses. By using electrical characterization and simulations, we link the electrical characteristics (linear or nonlinear I-V) to the microscopic properties of the conductive filament (CF). Our findings indicate that the shape and the thermal properties of the CF region are crucial to achieve linear I-V characteristics. These results allow optimizing the I-V curve linearity of TaOX-based RRAM devices, explaining the wide range of linear I-V characteristics experimentally observed on RRAM device obtained. When weight sum operation using SPICE simulations is performed, the read current is improved under the condition of linear I-V characteristics due to current loss minimization.
- Published
- 2019
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