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Learning Crystallographic Disorder: Bridging Prediction and Experiment in Materials Discovery

open access: yesAdvanced Materials, EarlyView.
Machine learning based computational materials discovery workflows have recently proposed thousands of potentially stable crystalline materials. However, the experimental realization of these predictions is often challenging because the models assume perfectly ordered structures.
Konstantin S. Jakob   +3 more
wiley   +1 more source

Uncertainty Quantification for Scale-Space Blob Detection. [PDF]

open access: yesJ Math Imaging Vis
Parzer F, Kirisits C, Scherzer O.
europepmc   +1 more source

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