Computational Electrochemistry – Training Service

Computational Electrochemistry – Training Services provides participants with comprehensive training on applying computational methods to study electrochemical processes, electrode reactions, and energy storage systems. The course covers molecular modeling, quantum chemical calculations, reaction mechanism analysis, and simulation of electrochemical interfaces. Participants learn to predict reaction kinetics, analyze electron transfer processes, and integrate computational insights with experimental data. Emphasis is placed on accuracy, reproducibility, and effective use of computational tools to support research in electrochemistry, batteries, and fuel cells. Through practical exercises and case studies, learners gain the expertise to model electrochemical systems, interpret results, and advance research in energy and materials science.