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NOMAD competition for transparent conducting oxi ... (No replies)

[email protected]
7 months ago
[email protected] 7 months ago

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:
https://www.kaggle.com/c/nomad2018-predict-transparent-conductors
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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Ab initio (from electronic structure) calculation of complex processes in materials