Matej Sebek
Papers
1
Total Citations
5
H-Index
1
About
Matej Sebek is a leading researcher in the scalable synthesis and integration of two-dimensional (2D) materials, with a focus on bridging the gap between laboratory discoveries and industrial applications. His 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. Sebek's pioneering work on metal-assisted exfoliation techniques has established new paradigms for producing high-quality, large-area 2D films with unprecedented consistency. His most-cited paper, "AI-assisted wafer-scale exfoliation and transfer of 2D materials: status, challenges and perspectives" (2025), has already garnered 5 citations, reflecting its timely impact on the field. Beyond this, Sebek's research portfolio encompasses the automation of material processing, machine learning-driven optimization of synthesis parameters, and the development of transfer protocols that preserve the intrinsic properties of atomically thin layers. His work is instrumental in enabling next-generation electronics, photonics, and quantum devices, positioning him as a key figure in the transition of 2D materials from academic curiosity to industrial reality.
Research Focus
Key Achievements
Top Papers
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