NOMAD has launched a crowd-sourced data-analytics competition with Kaggle, the most famous data science platform for predictive modelling and analytics competitions.
The challenge is to build predictive models for both formation and bandgap energies for a dataset, obtained by DFT calculations, consisting of binary, ternary and quaternary group-III oxides.
The winners will share a prize of 5,000€ and will be invited to NOMAD Summer 2018, the CECAM conference organized by NOMAD in Lausanne (September 24 - 27, 2018).
February 8, 2018 - Entry and team merger deadline. You must accept the competition rules before this date in order to compete.
February 15, 2018 - Final submission deadline.