Sungeun Heo

Abstract The discovery of catalysts is typically confined within individual material classes, limiting insight from across material types. Here we demonstrate a machine learning approach that bridges catalyst families by identifying co-descriptors derived from two experimental datasets: single-atom catalysts (SACs) on carbon and bulk perovskite oxides.

1 Introduction Anion exchange membrane water electrolysis (AEMWE) is an advanced green hydrogen production technology, which is designed to address the limitations of commercially established proton exchange membrane and alkaline water electrolysis (PEMWE and AWE).

Original Paper A miR‐194/PTBP1/CCND3 axis regulates tumor growth in human hepatocellular carcinoma Hoin Kang Department of Biochemistry, The Catholic University of Korea, College of Medicine, Seoul, 06591 South Korea Institute of Aging and Metabolic Diseases, The Catholic University of Korea, College of Medicine, Seoul, 06591 South Korea These authors contributed equally to this work.