AI, Big Data, Machine Learning and Metal-Organic Framework synthesis, analysis and design. A proof of concept study (MOF-CADS)

The goal is to build a chemical analysis, design and synthesis (CADS) software that uses Artificial Intelligence. Machine Learning and “Big Data” methods to compile and analyse original experimental data as well as third-party databases, patents and grey literature to speed up and improve the synthesis and commercial applications of the large subclass of new materials known as Metal-Organic Frameworks, MOFs.
This proof of concept study aims at using time restricted data on selected small problems to see if such a system can arrive at the preliminary solutions suggested by the latest experiments.