materials informatics

Attached is a recent poster from the snowbird machine learning conference, using support vector machines to learn the complex mapping between NMR spectra and underlying structure. By using machine learning to solve this inverse problem, the hope is of course to present spectra for new and interesting materials to the ML network in order to learn the underlying structure automatically without need for intensive ab initio calculations and experimental simulation.


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