Papers
1
Total Citations
20
H-Index
1
About
Qianlan Hu is a pioneering researcher in the field of two-dimensional (2D) van der Waals materials and their applications in neuromorphic computing. Her work centers on developing flexible synaptic devices that mimic biological neural functions, with a particular focus on energy-efficient, intelligent computation. Her most-cited paper, "Flexible synaptic floating gate devices with dual electrical modulation based on ambipolar black phosphorus" (2022, 20 citations), introduces a novel approach to creating robust, flexible synaptic transistors using black phosphorus. This breakthrough addresses a critical gap in soft robotics and wearable electronics, where traditional rigid components fall short. By enabling dual electrical modulation, Hu's device achieves unprecedented control over synaptic plasticity, paving the way for adaptive, low-power artificial neural networks. Her contributions are notable for bridging material science and bio-inspired computing, offering a scalable path toward next-generation flexible electronics. With her work garnering attention from both academia and industry, Hu is establishing herself as a key innovator in the intersection of 2D materials and neuromorphic engineering.
Research Focus
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Top Papers
- 1