Jan 4, 2018
NOMAD competition for transparent conducting oxides on kaggle
NOMAD has launched a crowd-sourced data-analytics competition with Kaggle, the most famous data science platform for predictive modelling and analytics competitions.
Posted by: kylie
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.
February 8, 2018 - Entry and team merger deadline. You must accept the competition rules before this date in order to compete.