2024
DOI: 10.1021/acsami.3c18805
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Design of Modified Polymer Membranes Using Machine Learning

Sarah Glass,
Martin Schmidt,
Petra Merten
et al.

Abstract: Surface modification is an attractive strategy to adjust the properties of polymer membranes. Unfortunately, predictive structure−processing−property relationships between the modification strategies and membrane performance are often unknown. One possibility to tackle this challenge is the application of data-driven methods such as machine learning. In this study, we applied machine learning methods to data sets containing the performance parameters of modified membranes. The resulting machine learning models… Show more

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