Ion-specific and pore-size effects on electrochemical performance of graphene-based electrodes and machine learning-assisted device-level design

Abstract

Electrochemical energy storage devices (EESDs), such as supercapacitors and batteries, are important players in the energy field with the ability to store energy resources and supply continuous electrical energy. A key challenge of EESDs lies in the trade-off between energy density and power delivery. The performance of the EESDs mainly depends on the electrolytes and nanopore size of the electrodes. However, due to the highly complex interplay of the electrolytes (such as ions type, ion concentration, etc.) and electrodes (such as pore size, surface charge property, and electrode thickness, etc.), the designing of EESDs with high energy density and fast power delivery is a very challenging ..