The results of the NOMAD crowd-sourced data analytics competition with Kaggle are out!
The goal of this competition was for participants to develop or apply data analytics models for the prediction of two target properties: the formation energy (which is an indication of the stability of a new material) and the bandgap energy (which is an indication of the potential for transparency over the visible range) to facilitate the discovery of new transparent conductors and allow for advancements in (opto)electronic technologies. A total of 5,000.00 euros in prizes were awarded to the top-three participants with the best performing models.
Congratulations to Tony Y. (Japan), Dr. Yury Lysogorskiy (Germany) and Lars Blumenthal (United Kingdom)!