Liuyuan Lan

Sun Yat-sen University

Papers

1

Total Citations

53

H-Index

1

About

Liuyuan Lan is at the forefront of next-generation neuromorphic and wearable computing, with a primary focus on developing advanced organic electronic devices for artificial intelligence hardware. Her most notable contribution is the design of all-polymer organic electrochemical synaptic transistors that precisely control ionic dynamics, enabling high-performance, sustainable reservoir computing systems. This work, published in 2024 and already garnering 53 citations, addresses a critical bottleneck in wearable near/in-sensor neuromorphic computing—paving the way for intelligent human-AI interfaces, the Internet of Things, and autonomous robotics. By leveraging the unique properties of organic polymers, Lan’s research not only enhances computational efficiency but also promotes eco-friendly, flexible electronics suitable for real-world wearable applications. Her innovative approach to reservoir computing hardware has positioned her as a rising leader in the field, with her work bridging materials science, device engineering, and AI. Lan’s achievements underscore her commitment to creating sustainable, high-performance technologies that will power the next wave of intelligent, wearable systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
53
Total Citations
53
Avg Citations/Paper
🏆 Most Cited Paper
All‐Polymer Organic Electrochemical Synaptic Transistor With Controlled Ionic Dynamics for High‐Performance Wearable and Sustainable Reservoir Computing
53 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Sun Yat-sen University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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