Abstract book of Annual Meeting of the Japan Society of Vacuum and Surface Science
Online ISSN : 2434-8589
Annual Meeting of the Japan Society of Vacuum and Surface Science 2020
Session ID : 1Da11
Conference information

Machine learning applications for data analysis in quantum beam experiments
*Yuta SuzukiKanta Ono
Author information
CONFERENCE PROCEEDINGS FREE ACCESS

Details
Abstract

Machine learning (ML) can accelerate the analysis of measured data and materials development. In this talk, We will introduce recent ML applications for powder X-ray diffraction patterns and X-ray absorption spectra.

Content from these authors
© 2020 The Japan Society of Vacuum and Surface Science
Previous article Next article
feedback
Top