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Updated: Aug 29, 2025

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Fabrication of Large-area Free-standing Ultrathin Polymer Films
Published on: June 3, 2015
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A small-data-driven model for predicting adsorption properties in polymeric thin films
Uiyoung Han1, Taegyu Kang2, Jongho Im2
1Department of Chemical & Biomolecular Engineering, College of Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul 03722, Republic of Korea. jinkee.hong@yonsei.ac.kr.
Abstract:
Artificial intelligence allowing data-driven prediction of physicochemical properties of polymers is rapidly emerging as a powerful tool for advancing material science. Here, we developed a methodology to use polymer adsorption data as predictable data by analyzing causal relationships between polymer properties and experimental results instead of using big polymer data.

