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Computer Vision- Core Artificial Intelligence Research
Vision-CAIR
Computer Vision- Core Artificial Intelligence Research

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geometric diodes

Design and Process Development of Graphene-Based Geometric Diodes for Enhanced Performance

Heng Wang, Ph.D., Electrical and Computer Engineering
Apr 29, 14:00 - 16:00

B2 L5 R5220

Thz rectennas Graphene geometric diodes semiconductors nano devices artificial intelligence

This thesis advances graphene geometric diodes (GGDs) by addressing fabrication, performance, and design challenges using innovative nanofabrication techniques and artificial intelligence-enhanced computational methodologies.

Heng Wang

Ph.D., Electrical and Computer Engineering

Thz rectennas Graphene geometric diodes semiconductors nano devices

Ph.D. student in Electrical and Computer Engineering at KAUST with expertise in nanofabrication, electron beam lithography, and nanodevices. Focused on graphene-based geometric diodes.

Computer Vision- Core Artificial Intelligence Research (Vision-CAIR)

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