A Digital-Analog Memristor Based on Ru-Polymer Complex for High-Performance, Noise-Resistant AI Applications

Key Points

• This research aims to develop an organic memristor that is high-performance and resistant to noise for AI applications.
• Creation of memristor using a blend of ruthenium trichloride and polymer materials
• Testing device performance in relation to neuromorphic computing applications
• Evaluation of the device's noise resilience
• The memristor demonstrated improved performance metrics in AI applications
• Noise resistance was significantly enhanced compared to traditional devices
• Successfully operated on a redox-based mechanism