-
interest in hydrophobic solvation due to its stunning importance for biology, catalysis and environmental science. However, it is only recently that we realized how important hydrophobicity is for
-
particle accelerator produces intense X-ray beams that are used by thousands of scientists each year for experiments in diverse fields such as biology, medicine, environmental sciences, cultural heritage
-
characterizing natural phenomena occurring in domains as diverse as climate science, earth science, biology, fluid dynamics. A diversity of approaches is being developed including data-driven techniques, methods
-
using deep learning methods. These multi-source and multi-scale data sets will allow the creation of meta-models through ML/DL approaches (enabling the management of non-linear relationships between