ESR 1 - Enrico Brugnoletto

ESR 1 will mainly focus on aspects related to III-V materials epitaxial growth on silicon, TEM analysis and development of a machine learning algorithm for defect classification. We also foresee the development of simulation framework to model the electronic and optical properties of individual defects.

Enrico after his succesful thesis defenceBio: BSc and MSc in Materials Science at the UniversitĂ  degli Studi di Padova (Italy). During his Master's, he spent an Erasmus semester studying Nanoscience at Aarhus Universitet (Denmark). He graduated with top Marks and cum laude, with a thesis regarding the mapping of thermally induced stress in GaN LEDs, using spectroscopic tools such as Raman spectroscopy. He spent 2 months carrying out part of his Master's thesis work at Technische Hochschule Ingolstadt (Germany).





SwissNano 2021 Presentation

SwissNano2021 Presentation