Thesis supervisor: Pál Lukács-Tóth
Location of studies (in Hungarian): Miskolci Egyetem, Műszaki Anyagtudományi Kar, Energia Intézet Abbreviation of location of studies: MEMAK
Description of the research topic:
Knowledge regarding the nanostructure of carbon-based materials is relevant in many actively researched areas today. For instance, the effect of atmospheric carbon nanoparticles on global climate change is well-known - many relevant physico-chemical optical properties of these materials can be predicted based on their nanostructure. The the heterogeneity and structural complexity of the carbon makes detailed, atomic scale investigation and characterization difficult . High Resolution Transmission Electron Microscopy (HRTEM) can be used to resolve nanostructure; however, the HRTEM technique yields hardly representative results due to the small sample size. The representativeness and thus practical utility of HRTEM can be improved by using automatic imaging and data processing techniques. Here, we propose the development and evaluation of such techniques. The proposed solutions are based on modern machine learning and machine vision.
Number of students who can be accepted: 1
Deadline for application: 2018-05-15
2024. IV. 17. ODT ülés Az ODT következő ülésére 2024. június 14-én, pénteken 10.00 órakor kerül sor a Semmelweis Egyetem Szenátusi termében (Bp. Üllői út 26. I. emelet).
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