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 repository contains the database and notebooks related to the publication Exploring machine learning models to predict atmospheric water harvesting with an ion deposition membrane
This repository contains the database, documentation, Python library (coming soon), and notebooks used to build the Energy-GNoME database.
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 repository contains codes related to the publication Learning Effective Good Variables from Physical Data