Data Assimilation (DA) is an important mathematical method for predicting turbulent flows for weather forecasting. However, the origins of the critical length scale, a crucial parameter in this method ...

Filippo Radicchi, professor of Informatics at the Luddy School of Informatics, Computing, and Engineering, co-authored a ground-breaking study that could lead to the development of new AI algorithms ...

This study offers a valuable theoretical framework for quantifying molecular transport across interfaces between coexisting liquid phases, emphasizing interfacial resistance as a central factor ...

This study delves into the behavioral complexities of autism spectrum disorder (ASD) by introducing the rigid-autonomous phase sequence (RAPS) formation concept. RAPS are may be responsible for the ...