[22a-52A-1~9] 23.1 Joint Session N "Informatics"

11:30 AM - 11:45 AM JST(2:30 AM - 2:45 AM UTC)

[22a-52A-9] Prospects of machine learning by using large-scale experimental data on Starrydata

〇Yukari Katsura^1,2,3, Tomoya Mato¹, Masaya Kumagai^3,4, Koji Tsuda^1,3,5 (1.NIMS, 2.Univ. of Tsukuba, 3.RIKEN, 4.SAKURA Internet Inc., 5.Univ. of Tokyo)

Keywords:

materials informatics,machine learning,database

With the goal of encouraging future MI researchers to stretch their imaginations about how to use Starrydata's experimental data, we will present examples of previous MI research, both domestic and international, as well as datasets currently available on Starrydata. As examples of code for this machine learning, we will present simple codes for unsupervised learning (clustering) and supervised learning. As one of the pioneers who will work together to develop MI technology and expand the field of research, rather than just as an audience member, we hope you will think creatively about what kind of new data analysis and machine learning you can do.