Our paper has been accepted to Knowledge-Based Systems. This paper proposes a generation method of EPMA images with desirable physical characteristics based on deep learning. This work is collaborative research with Toyota Motor Corporation.
- Kento Uchida, Genki Sakata, Tetsushi Watari, Yuta Yamakita, and Shinichi Shirakawa: Generation of microscopic structure of solder material with desirable characteristics based on deep learning, Knowledge-Based Systems, Vol. 258, 110017, Dec. 2022. [DOI]