This paper presents a novel Ion Deposition Membrane-based approach to atmospheric water harvesting, leveraging machine learning to predict water yields under various environmental conditions.

This paper presents the novel Energy-GNoME database and the related protocol.

This paper presents two novel approaches to the discovery of possible groups or combinations of primitive variables.

This paper proposes the estimation of the values of the parameters of the Thévenin equivalent circuit of a LIB commercial cell.