Interpretable machine learning modeling of capacitive deionization for contribution analysis of electrode and process features
Farzin Saffarimiandoab, Riccardo Mattesini, Wanyi Fu, Erçan E. Kuruoğlu, Xihui Zhang
Abstract
State-of-the-art machine learning techniques are established to predict the performance of the capacitive deionization process and to determine the role of electrode and process features in desalination.
Topics & Concepts
Capacitive deionizationProcess (computing)Computer scienceElectrodeArtificial intelligenceCapacitive sensingProcess engineeringMachine learningEngineeringChemistryElectrochemistryPhysical chemistryOperating systemMembrane-based Ion Separation TechniquesMembrane Separation TechnologiesFuel Cells and Related Materials