Bei Jiang

Hubei University

Papers

1

Total Citations

34

H-Index

1

About

Dr. Bei Jiang is a leading researcher in the field of neuromorphic computing and advanced semiconductor devices, with a particular focus on oxide-based memristors for artificial synapses and sensory systems. Her most cited work, "An Oxide-Based Bilayer ZrO₂/IGZO Memristor for Synaptic Plasticity and Artificial Nociceptor" (2023, 34 citations), demonstrates a major contribution to the development of bio-inspired hardware. In this study, Dr. Jiang successfully fabricated memristors using 45-nm CMOS-compatible technology on Si/SiO₂ substrates, enabling the emulation of key biological learning behaviors, including synaptic plasticity and the functions of an artificial nociceptor—a sensor that mimics pain perception. This achievement is notable for bridging the gap between emerging memristive devices and industrial-scale fabrication processes, highlighting the potential for integrating neuromorphic components into existing semiconductor manufacturing. Her work has garnered significant attention for its practical approach to realizing energy-efficient, brain-inspired computing systems. Dr. Jiang’s research continues to push the boundaries of how artificial intelligence hardware can replicate complex biological responses, making her a rising figure in the interdisciplinary field of nanoelectronics and neural networks.

Research Focus

Key Achievements

1
H-Index
1
Papers
34
Total Citations
34
Avg Citations/Paper
🏆 Most Cited Paper
An Oxide-Based Bilayer ZrO₂/IGZO Memristor for Synaptic Plasticity and Artificial Nociceptor
34 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: Hubei University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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