ICAMS / Interdisciplinary Centre for Advanced Materials Simulation


Publication on 2nd place of ICAMS team in international machine-learning competition in npj Comp. Mater.


The ICAMS researchers Yury Lysogorskiy and Thomas Hammerschmidt from the Atomistic Modelling and Simulation department were awarded the second prize in the international machine-learning competition NOMAD2018 "Predicting Transparent Conductors" hosted by Kaggle

The goal of this competition was to develop data analytics models for predicting the formation energy (which determines the material stability) and the electronic bandgap (which determines the material optical transparency) in order to facilitate the discovery of new transparent conductors for optoelectronic technologies.

Go to the full npj Comp. Mat. article
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