Abstract
This project proposes an innovative investigation to identify ideal ceramic materials as electrolytes in solid oxide fuel cells (SOFCs) that operate with direct ethanol. Through the employment of advanced computational modeling and machine learning techniques, the aim is to select the most promising materials to enhance the performance of SOFCs, considering both energy efficiency and the …