| POLYMERS Vol.67 No.12 |
| >> Japanese |
COVER STORY Representation of Polymer Properties with Data Science: Mining Hidden Information |
| In recent years, data science such as artificial intelligence (AI) and machine learning has attracted attention. In the field of polymer science, it is often difficult to find regularity from data. For example, there are data that are difficult to quantify like polymer motion and shape, and data that contain large noise due to many influencing factors. Therefore, the representation of data and the extraction of meaningful information are becoming more important. This special feature introduces examples of data science and commentary articles in a wide range of fields such as physics, computational science, and spectroscopy. Editors: SHIRASAKA, AOKI, and UNEYAMA |
| Digest for English Readers | 672
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| Hot Topics in Polymer Science in SPSJ | 675
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| Commentary |
| Development of Process Informatics | Kimito FUNATSU | 676
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| COVER STORY: Highlight Reviews |
| Relaxation Analysis of Polymers by Computational Science | Hiroshi TAKANO | 677 |
| Polymer Spectroscopy with Chemometrics | Shigeaki MORITA, Yukihiro OZAKI | 680 |
| PolyMANGA | 683 |
| COVER STORY: Topics and Products |
| Introductory Case Studies of Deep Learning in Polymer Materials | Katsumi HAGITA | 684 |
| Introduction to Topological Data Analysis for Material Science | Takenobu NAKAMURA | 686 |
| Design of a Metal with Strong Adhesion to Resin | Tomio IWASAKI | 689 |
| pMAIRS: Analytical Technique of Molecular Orientation of Any Chemical Group | Takeshi HASEGAWA | 691 |
| Polymer Science and I: A Personal Account |
| Toward Practical Applications of Supramolecular Sensors | Tsuyoshi MINAMI | 693
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| Messages: “Work and Life” |
| The Balancing and Integration: Club Activity and Study, Adaptation and Change | Noriko NAGAHORI | 694
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| Front-Line Polymer Science |
| What Makes Star-Shaped Polymer Fascinating? | Shokyoku KANAOKA, Shohei IDA | 695
|
| Messages from SPSJ | 705 |
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