Opto-vibrational coupling in molecular solar thermal storage materials: Electronic structure calculations and neural-networkbased analysis Giannis Kostaras Degree project
Abstract: Molecular solar thermal storage materials are proposed as a clean, renewable energysolution for a world with ever increasing energy needs. Norbornadiene is anorganic compound suitable for molecular solar thermal storage systems. Computationalmethods such as density functional theory offer solutions for improvement ofnorbornadiene-based molecular solar thermal storage systems via theoretical spectroscopy.Machine learning methods, such as artificial neural networks may offeruseful insights to improve theoretical spectroscopy methods.
AT THIS PAGE YOU CAN DOWNLOAD THE WHOLE ESSAY. (follow the link to the next page)