Artificial intelligence-navigated development of high-performance electrochemical energy storage systems through feature engineering of multiple descriptor families of materials
Haruna Adamu, Sani I. Abba, Paul Betiang Anyin, Yusuf Sani, Mohammad Qamar
Abstract
With increased awareness of artificial intelligence-based algorithms coupled with the non-stop creation of material databases, artificial intelligence (AI) can facilitate fast development of high-performance electrochemical energy storage systems (EESSs).
Topics & Concepts
Electrochemical energy storageComputer scienceFeature (linguistics)Artificial intelligenceEnergy storageElectrochemistryNanotechnologyMaterials scienceSupercapacitorChemistryPower (physics)PhysicsPhilosophyElectrodeLinguisticsQuantum mechanicsPhysical chemistryMachine Learning in Materials ScienceAdvancements in Battery MaterialsTransition Metal Oxide Nanomaterials