[Mon-I1] Data-driven materials science and process informatics

[Mon-I1-2] Award Applied
Development of spatially-resolved soft X-ray operand observation with unsupervised machine learning

*RYOSUKE YAMAMOTO¹, Kenta Amemiya² (1. Department of Chemistry, School of Science, The University of Tokyo (Japan), 2. Institute of Materials Structure Science, KEK (Japan))

Keywords:surface science, soft X-ray, operand observation, spatially-resolved, unsupervised machine learning, catalytic chemistry