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Machine Learning-Driven Prediction and Interpretation of Glass Transition Temperature in Polyurethanes

Year: 2026

Type: article

Source: ACS Applied Polymer Materials

DOI: 10.1021/acsapm.5c04524

Authors: Yuejie Qin, Zhihao Ma, Xue Li, Jianxiang Shen, Jun Liu

Institutions: Jiaxing University, Jiaxing Nanhu University, State Key Laboratory of Organic-Inorganic Composite Materials, Beijing University of Chemical Technology

Language: English

Topic: Machine Learning in Materials Science

Subfield: Materials Chemistry

Field: Materials Science

Domain: Physical Sciences

Open Access status: closed

Funders: National Natural Science Foundation of China, State Key Laboratory of Organic–Inorganic Composites, Science and Technology Bureau of Jiaxing City, Natural Science Foundation of Zhejiang Province

Awards: G1354212031, 高填充橡胶材料的动态拉伸力学行为的分子模拟研究, G2019255200, G5426792628

OpenAlex ID: W7154490488

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Cites: 60

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