POLYMERS Vol.71 No.12 |
>> Japanese |
COVER STORY Maybe We Should Have Asked Earlier, But We Can Still Learn Statistics for Polymer Science |
Machine learning has been tried in various field due to the rapid progress of artificial intelligence (AI). Simulation and deep learning, which allows you to easily analyze, evaluate, and predict large amounts of data, can be seen here and there. It can’t be ignored in the field of polymer science. Before relying on deep learning, which tends to obscure causality due to black boxes, it is necessary to understand the basic and easy-to-understand statistics that have been useful for polymer science. In the first place, polymers have a molecular weight distribution and have a wide range of characteristics. For composite materials, it is necessary to consider dispersion and interface. How can statistics be applied to such polymers? This special issue presents statistics for polymers from basic to practical approaches. Editors: KIMURA-SUDA, IDA, IWASAKI, and OTOZAWA |
Digest for English Readers | 606
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Hot Topics in Polymer Science in SPSJ | 609
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SPSJ PMF Poster Awards 2021 |
Commentary |
An Encouragement to Learn Statistics | Takahiro SATO | 610
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COVER STORY: Highlight Reviews |
Statistical Treatment for Distributions of Stereosequence and Monomer Sequence in Vinyl (Co)polymers | Tomohiro HIRANO | 611 |
Statistical Mechanical Approach to Polymers | Takashi UNEYAMA | 614 |
Four Informatics in Material Science | Yuma IWASAKI | 617 |
PolyMANGA | 620 |
COVER STORY: Topics and Products |
Improvements of Rheological and Mechanical Properties of Semi-Crystalline Polymers by Controlling Molecular Weight Distribution | Takumitsu KIDA | 621 |
Data Analysis and Machine Learning with Small Data Considering Predictability and Applicability of Mathematical Models | Hiromasa KANEKO | 623 |
Bayesian Approach to Exploring Novel Materials | Kenta HONGO | 625 |
Development of Polymer Materials Using Coarse Grained Molecular Dynamics Simulation | Tetsuo TOMINAGA, Kazuya MORISHITA | 627 |
Polymer Science and I: A Personal Account |
Crossing Borders and Disciplines | Akimitsu NARITA | 629
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Messages: “Work and Life” |
How Shall We Continue Basic Research in the Era of the 100 Year Time Period? | Noboru KIKUCHI | 630
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Front-Line Polymer Science |
Enzyme Function on DNA Nanostructure | Eiji NAKATA, Takashi MORII | 631
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Messages from SPSJ | 636 |
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