Microscopic Imaging Analysis
Abstract (SE8)
Monolayer molybdenum disulfide is a unique semiconductor that can be utilized for microelectronics and optoelectronic devices. However the quality of these devices highly depends on the quality and defect morphology of these layers. This project utilizes computer vision to detect the defects and perform analysis on molybdenum sulfide images with varying levels of proton irradiation energy.
Student Author: Holly Schafer
Faculty Advisor: Vinayak Elangovan
About the Presenters:
Holly Schafer is a senior majoring in Computer Science at Penn State Abington. Her research interests are in the area of computer vision and machine learning.
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