Exception search in databases for polymers with practically contradictory properties of heat resistance and transparency-Reference-Cited by-同舟云学术

Exception search in databases for polymers with practically contradictory properties of heat resistance and transparency

Published:2023 Issue:33 Volume:14 Page:3881-3887
ISSN:1759-9954
Container-title:Polymer Chemistry
language:en
Short-container-title:Polym. Chem.

Author:

Nakamura Yasuyuki¹^ORCID,Gros Alice²,Zhang Wenhao³,Sodeyama Keitaro²^ORCID,Naito Masanobu¹³^ORCID

Affiliation:

1. Data-driven Polymer Design Group, Research Center for Macromolecules and Biomaterials, National Institute for Materials Science (NIMS), Tsukuba, Ibaraki, Japan

2. Data-driven Materials Design Group, Center for Basic Research on Materials, and Energy Materials Design Group, Research and Services Division of Materials Data and Integrated System (MaDIS), National Institute for Materials Science (NIMS), Tsukuba, Ibaraki, Japan

3. Department of Advanced Material Science, Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa, Japan

Abstract

Searching unexplored areas in a comprehensive polymer database enabled efficient finding of heat-resistant transparent polymer materials through filtering, screening and experimental verification.

Funder

Japan Science and Technology Agency

Publisher

Royal Society of Chemistry (RSC)

Subject

Organic Chemistry,Polymers and Plastics,Biochemistry,Bioengineering

Link

http://pubs.rsc.org/en/content/articlepdf/2023/PY/D3PY00565H

Reference36 articles.

1. Data-Driven Methods for Accelerating Polymer Design

2. Emerging materials intelligence ecosystems propelled by machine learning

3. Data-Driven Strategies for Accelerated Materials Design

4. S.Wu , H.Yamada , Y.Hayashi , M.Zamengo and R.Yoshida

5. Data-driven algorithms for inverse design of polymers

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