Big-Data Science in Porous Materials: Materials Genomics and Machine Learning
Kevin Maik Jablonka,
Daniele Ongari,
Seyed Mohamad Moosavi
et al.
Abstract:By combining metal nodes with organic linkers we can potentially synthesize millions of possible metal-organic frameworks (MOFs). The fact that we have so many materials opens many exciting avenues, but also create new challenges. We simply have too many material to be processed using conventional, brute force, methods. In this review, we show that having so many materials allows us to use big-data methods as a powerful technique to study these materials and to discover complex correlations. The first part of … Show more
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