Zhaolin Ge

Sun Yat-sen University

Papers

1

Total Citations

53

H-Index

1

About

Zhaolin Ge is a rising star in the field of organic bioelectronics and neuromorphic computing, with a focused expertise in developing next-generation wearable artificial intelligence hardware. Her most impactful work centers on the design and engineering of all-polymer organic electrochemical synaptic transistors (OECTs), where she has made seminal contributions to controlling ionic dynamics for high-performance computing. In her highly cited 2024 paper, Ge introduced a novel all-polymer synaptic transistor that achieves controlled ionic dynamics, enabling robust, energy-efficient reservoir computing directly on wearable substrates. This breakthrough addresses a critical bottleneck in near-sensor neuromorphic processing, paving the way for intelligent, sustainable human-AI interfaces. With her work already garnering over 50 citations in a short span, Ge is recognized for pushing the boundaries of organic mixed ionic-electronic conductors and device physics. Her research not only advances fundamental understanding of ion-gated polymer transistors but also demonstrates tangible pathways toward low-power, flexible, and biocompatible computing systems for the Internet of Things and soft robotics.

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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