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NOMAD competition for transparent conducting oxi ... (No replies)
The Novel Materials Discovery (NOMAD) Centre of Excellence (https://nomad-coe.eu) 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 the CECAM conference organized by NOMAD (Lausanne, September 2018, https://www.cecam.org/workshop-1569.html).
We encourage the psi-k community to participate in the competition.
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