Angelo Ziletti

Angelo Ziletti

Computational physicist by formation (PhD, Boston University, 2015), I am a machine learning researcher developing a framework for automatic materials recognition, with the final goal of accelerating the discovery of novel materials.

As Deputy Group Leader at the Fritz Haber Institute of Max Planck Society, I am developing machine learning tools for the largest computational materials science database in the world (NOMAD Archive) to automatically recognize nanomaterials, and allow for information retrieval: in short, a “Google for nanomaterials”.


The Face of Nanomaterials: Insightful Classification Using Deep Learning

Sunday 11:45–12:30 in Kursraum 1

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