Conesaboj Lab

Electron Nanoscopy of Quantum Materials

Machine Learning

We deploy machine learning algorithms to optimise data analyses in electron microscopy. Ongoing projects include:

• A model-independent zero loss peak (ZLP) subtraction in electron energy-loss spectroscopy (EELS) with neural networks;

arXiv:2009.05050 (2020)

• Automatising the classification and identification of relevant features in Hyperspectral EELS images;
• Deep learning classification of crystalline structures and defects from atomic resolution TEM images.

Meet the developers team:

                          Laurien Roest                             Isabel Postmes                           Juan Rojo