Progress in nanomaterials fabrication and their prospects in artificial intelligence towards solid oxide fuel cells: A review

As an excellent source of sustainable green energy, solid oxide fuel cells (SOFCs) become a compelling energy conversion and storage device which has been attractive to stakeholders worldwide for their high fuel efficiency, lower air pollution, reduced cost, and admirable steadiness. The electrodes, anode, and cathode, are the significant components of SOFC, facilitate byproducts transportation via electrochemical reaction, and fuel oxidation with electron and ion transportation. SOFCs with a lower operating temperature will reduce system and operating costs while increasing long-term durability. The performance of electrodes in SOFCs has been developed and investigated using a variety of material compositions, as the key determinant of efficiency is dependent on lower operating temperatures. Nanostructured materials, in particular, have demonstrated the greatest potential for improving electrodes at low operating temperatures by enhancing the surface area and improving electrocatalytic activity. Artificial intelligence (AI) is used to create the theoretical SOFC model to minimize the time necessary to identify the operational optimum over a wide range of parameters as well as the total cost of the system. In this review, we have highlighted the development of nanostructured electrodes, their preparation techniques, and the function of AI in the creation of a range of nanoelectrodes and SOFC modeling as well as their significant roles in improving SOFC performance.(c) 2022 Hydrogen Energy Publications LLC. Published by Elsevier Ltd. All rights reserved.