- Advanced Memory and Neural Computing
- Neural dynamics and brain function
- Neural Networks and Reservoir Computing
- Ferroelectric and Negative Capacitance Devices
- Structural Load-Bearing Analysis
- Microstructure and Mechanical Properties of Steels
- Electronic and Structural Properties of Oxides
- Fatigue and fracture mechanics
Peking University
2023-2024
Beijing Advanced Sciences and Innovation Center
2023-2024
Reservoir computing is a powerful neural network-based paradigm for spatiotemporal signal processing. Recently, physical reservoirs have been explored based on various electronic devices with outstanding efficiency. However, the inflexible temporal dynamics of these posed fundamental restrictions in processing signals timescales. Here, we fabricated thin-film transistors controllable dynamics, which can be easily tuned electrical operation and showed excellent cycle-to-cycle uniformity....
Temporal information processing is critical for a wide spectrum of applications, such as finance, biomedicine, and engineering. Reservoir computing (RC) can efficiently process temporal with low training costs. Various memristors have been explored to demonstrate RC systems leveraging the short-term memory nonlinear dynamic behaviours. However, fixed after device fabrication, limiting applications diverse analysis tasks. In this work, we propose approaches modulating Pt/SiOx:Ag/Pt memristor...