Microstructure evolution of Solid Oxide Fuel Cell anodes characterized by persistent homology  

作　　者：Piotr Pawłowski Szymon Buchaniec Tomasz Prokop Hiroshi Iwai Grzegorz Brus 

机构地区：[1]AGH University of Science and Technology,Mickiewicz Ave 30,30-059,Krakow,Poland [2]Kyoto University,Nishikyo-ku,615-8540,Kyoto,Japan

出　　处：《Energy and AI》2023年第4期73-85,共13页能源与人工智能（英文）

摘　　要：Uncovering microstructure evolution mechanisms that accompany the long-term operation of solid oxide fuel cells is a fundamental challenge in designing a more durable energy system for the future.To date,the study of fuel cell stack degradation has focused mainly on electrochemical performance and,more rarely,on averaged microstructural parameters.Here we show an alternative approach in which an evolution of three-dimensional microstructural features is studied using electron tomography coupled with topological data analysis.The latter produces persistent diagrams of microstructure before and after long-term operation of electrodes.Those diagrams unveil a new insight into the degradation process of three involved phases:Nickel,pores,and yttrium-stabilized zirconium.

关 键 词：Fuel cell HYDROGEN Microstructure Persistent homology Persistent diagrams Machine learning 

分 类 号：TG1[金属学及工艺—金属学]