1. Resistive switching and synaptic characteristics in ZnO@β-SiC composite-based RRAM for neuromorphic computing.
- Author
-
Santra, Bisweswar, Das, Gangadhar, Aquilanti, Giuliana, and Kanjilal, Aloke
- Subjects
- *
X-ray photoelectron spectroscopy , *OXYGEN vacancy , *RANDOM access memory , *ARTIFICIAL intelligence , *X-ray spectroscopy - Abstract
The advancement of neuromorphic computing in resistive random-access memory (RRAM) is crucial for the rapid expansion of artificial intelligence. Conventional metal oxide-based RRAM faces challenges in mimicking synaptic activity, leading to the exploration of new resistive switching (RS) materials. This study introduces a ZnO@β-SiC composite-based RRAM device that exhibits biological synapse-like functionality. The device shows self-compliance and forming-free RS at ∼0.8 V, where it also mimics synaptic responses such as potentiation, depression, and paired-pulse facilitation at low voltage stimuli (∼0.6 V, 40 ms) with learning and forgetting behavior. Moreover, the synaptic plasticity is analyzed through spike rate dependent plasticity, spike number dependent plasticity, and spike time dependent plasticity. Further, the transition from short-term plasticity to long-term plasticity is observed under more training pulses and lower interval stimuli. The observed RS mechanism and synaptic functionalities are explained by the electric field-driven formation and dissolution of conducting filaments of oxygen vacancies. The chemical properties and local electronic structure have been examined by x-ray photoelectron spectroscopy and x-ray absorption spectroscopy. To elucidate the atomistic memristive behavior and the contribution of different electrical parameters in RRAM, detailed conductive atomic-force microscopy and impedance analysis have been carried out. [ABSTRACT FROM AUTHOR] more...
- Published
- 2025
- Full Text
- View/download PDF