Graphical abstract of the work. (© Nature Chemistry) "Machine learning is emerging as a powerful approach to construct various forms of transferable atomistic potentials utilizing regression ...

Every year, thousands of new materials are created, yet many never reach their full potential because their applications aren ...

The second and third parts discuss the thesis that current developments in the foundations of statistics, including decision theory and uncertainty quantification, can substantially contribute to ...