| 학회 |
한국고분자학회 |
| 학술대회 |
2018년 가을 (10/10 ~ 10/12, 경주컨벤션센터) |
| 권호 |
43권 2호 |
| 발표분야 |
PSK-FAPS 2018 Congress on Functional Polymers and Their Applications (English) |
| 제목 |
Materials Informatics on Energy-related Functional Polymers |
| 초록 |
We are upon days when big scientific data are coupled with machine learning advances and may reduce both the time and cost of developing new materials, to be known as materials informatics. However, there have been very limited challenges to polymers, especially functional properties, because of their complexity and the lack of database. By collecting the data in journal articles, we did machine learning with proper training sets for the examples of Li ion-conducting polymers and electric conducting organic polymers. The learning results and the extrapolated candidate polymers for the target functionalities are being tested experimentally and discussed for gaining an insight into machine learning, theory and simulation. We will try to describe the reality for making materials informatics or rational co-designing approach on functional polymers. |
| 저자 |
Kan Hatakeyama-Sato, Kenichi Oyaizu, Yoshinori Nishikitani, Hiroyuki Nishide
|
| 소속 |
Waseda Univ. |
| 키워드 |
- |
| E-Mail |
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