Omidvar, NoushinXin, Hongliang2022-02-132022-02-132021-12-012589-5974http://hdl.handle.net/10919/108328Machine learning (ML) has emerged as a critical tool in catalysis, attributed to its capability of finding complex patterns in high dimensional and heterogeneous data. A recently published article in Chem Catalysis (Esterhuizen et al.) used unsupervised ML for uncovering electronic and geometric descriptors of the surface reactivity of metal alloys and oxides.Pages 990-9923 page(s)application/pdfenIn CopyrightChemistryCHEMISORPTIONREACTIVITYArticle2022-02-13https://doi.org/10.1016/j.trechm.2021.10.001312Xin, Hongliang [0000-0001-9344-1697]2589-5974