Cover Picture: Modelling Bulk Electrolytes and Electrolyte Interfaces with Atomistic Machine Learning (4/2021)

The Front Cover illustrates the emergence of atomistic machine learning in modelling electrolytes and associated interfaces. The left panel provides a schematic picture of electrode–electrolyte interfaces at the atomic scale. The right panel shows an artistic representation of using crystal structure in artificial intelligence for property predictions. The background reflects the importance of digitalization in electrochemical energy storage. More information can be found in the Minireview by C. Zhang and co-workers.