Unlocking the potential of Ti<sub>3</sub>C<sub>2</sub> electrodes: a data-driven capacitance prediction study
Sanjith Krishna, Afkham Mir
Abstract
This study pioneers the use of machine learning to predict Ti 3 C 2 supercapacitor capacitance, evaluating KNN, ANN, and BRR models and uncovering key factors like cation mobility and scan rate that influence performance, with robust accuracy.
Topics & Concepts
CapacitanceElectrodeMaterials scienceOptoelectronicsAnalytical Chemistry (journal)ChemistryPhysical chemistryChromatographyMXene and MAX Phase MaterialsFerroelectric and Negative Capacitance DevicesAdvanced Memory and Neural Computing