#Japan #Tokyo #Polymer Informatics #Fine Chemical #CMC Publishing

Exciting Frontier of Polymer Informatics in Fine Chemical's April 2025 Issue

The world of material science is undergoing a transformation as we delve into the innovative discipline of polymer informatics. The latest edition of the magazine, Fine Chemical, April 2025 (priced at 7,700 yen, tax included), is set to be released on April 15, 2025. Published by CMC Publishing, based in Kanda Nishikicho, Chiyoda-ku, Tokyo, this issue is available on their e-commerce site and at bookstores nationwide.

In recent years, polymer informatics has garnered significant attention for its potential to revolutionize the development process of polymer materials. By integrating molecular generation, simulation, and physical property prediction, this technique stands to enhance the efficiency of polymer exploration and design. Thus, it promises to meet the rapidly evolving demands of industries more effectively.

This special feature has gathered contributions from leading researchers and technologists at the forefront of informatics, shedding light on the latest advancements in this domain. Among the prominent authors are:

• - Kaito Funatsu (Nara Institute of Science and Technology)
• - Koichiro Kato, Poin Kan (Kyushu University)
• - Takuya Minami, Kokin Nakachin, Naoto Aonuma, Koji Miyakoshi (Resonac Corporation)
• - Yuji Morita (National Institute of Advanced Industrial Science and Technology)
• - Kenzo Kasahara, Yoshinori Fujii, Masato Takigawa (Konica Minolta)
• - Tomoyuki Imada (DIC Corporation)
• - Kenji Terashima, Itaru Okada, Motohiro Tomizawa (Tokyo University of Agriculture)

The contents of this edition feature:

1. Special Feature: Polymer Informatics – The Cutting Edge of Polymer Materials Exploration and Design
- Introduction to process informatics and its influences
- Exploration and design of anion exchange membrane polymers using machine learning
- Efficient design of polymer materials through machine learning techniques
- Data generation for polymer informatics through simulations
- Prediction of miscibility in polymer blends via machine learning
- Exploration and design of resins for electronic materials utilizing machine learning

2. Series: Pyrimidine-Based Functional Chemicals
- The final installment focusing on quinazoline derivatives

3. Market Insights
- Trends in the hair care product market

4. Chemical Profiles
- Isobornyl acrylate
- Erythorbic acid and Sodium erythorbate
- 4,4’-Diaminodiphenyl ether

5. News Digest
- Including domestic and international updates

This issue emphasizes the remarkable progress being made in polymer informatics, showcasing how these modern methodologies serve to streamline the development of advanced materials. Readers can expect to gain in-depth insights and knowledge about the latest trends and research that are shaping the future of this dynamic field.