Some of the most encouraging results for reaction-enhancing catalysts come from one material in particular: tin (Sn). While ...

I am a computational biologist interested in interpretable machine learning for genomics and health care. Interpretable ...

Researchers have used machine learning to dramatically speed up the processing time when simulating galaxy evolution coupled with supernova explosion. This approach could help us understand the ...

Researchers at Tohoku University used machine learning potential to create large-scale models of tin (Sn) catalysts under ...

Machine learning methods enable computers to learn without being explicitly programmed and have multiple applications, for example, in the improvement of data mining algorithms.