Papers
1
Total Citations
5
H-Index
1
About
Zixuan Li is a leading researcher in the scalable production and integration of two-dimensional (2D) materials, with a focus on bridging the gap between laboratory synthesis and industrial applications. Their major contributions center on developing AI-assisted methods for wafer-scale exfoliation and transfer of 2D materials, addressing critical challenges in reproducibility, yield, and quality control that have long hindered commercial adoption. Li's work on metal-assisted exfoliation techniques has been widely recognized, with their most-cited paper—"AI-assisted wafer-scale exfoliation and transfer of 2D materials: status, challenges and perspectives"—garnering 5 citations since its 2025 publication. This work systematically outlines the current landscape and future directions for integrating artificial intelligence into the manufacturing pipeline, offering a roadmap for overcoming persistent bottlenecks in material uniformity and defect management. Li's research is pivotal for enabling next-generation electronics, optoelectronics, and flexible devices, where high-quality 2D materials are essential. Their interdisciplinary approach, combining materials science, machine learning, and process engineering, positions them as a key figure in the transition of 2D materials from promising prototypes to reliable, large-scale technologies.
Research Focus
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Top Papers
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