Tengteng Li

Tianjin University

Papers

1

Total Citations

24

H-Index

1

About

Dr. Tengteng Li is a rising innovator in the field of neuromorphic computing and flexible electronic materials, with a focus on developing bio-inspired memory devices for artificial intelligence. Their most-cited work introduces a resistive switching memory based on a polyvinyl alcohol-graphene oxide hybrid, designed to emulate the human visual perception nervous system. This RRAM device achieves high-density storage while mimicking neural synaptic behavior, offering a promising pathway toward energy-efficient, brain-like computing systems. With 24 citations on this key paper alone, Dr. Li’s research bridges materials science and AI hardware, demonstrating how hybrid organic-inorganic composites can enable next-generation, flexible, and biocompatible electronics. Their contributions are particularly notable for advancing the integration of sensory processing and memory in a single device, a critical step toward realizing intelligent, adaptive systems. Dr. Li’s work represents a compelling intersection of nanotechnology, polymer engineering, and cognitive computing, positioning them as a researcher to watch in the evolving landscape of neuromorphic engineering.

Research Focus

Key Achievements

1
H-Index
1
Papers
24
Total Citations
24
Avg Citations/Paper
🏆 Most Cited Paper
Resistive switching memory based on polyvinyl alcohol-graphene oxide hybrid material for the visual perception nervous system
24 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Tianjin University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago