Work

Prediction of Surface Free Energy of Polymer Surfaces by Machine Learning Modeling of Chemical Structure–Property Relationships

Year: 2025

Type: article

Source: ACS Applied Polymer Materials

DOI: 10.1021/acsapm.5c02607

Authors: Shunya Sudo, Madoka Takai, Tsukuru Masuda

Institution: The University of Tokyo

Language: English

Topic: Machine Learning in Materials Science

Subfield: Materials Chemistry

Field: Materials Science

Domain: Physical Sciences

Open Access status: closed

Funders: Precise Measurement Technology Promotion Foundation, Japan Society for the Promotion of Science

Award: Comprehensive understanding of hydrophilicity and water sliding in polymer interfaces and materials design

OpenAlex ID: W7102739723

FWCI: 1.039

Cites: 60

Cited by: 5

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