دورية أكاديمية
Design of Modified Polymer Membranes Using Machine Learning
| العنوان: | Design of Modified Polymer Membranes Using Machine Learning |
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| المؤلفون: | Glass, Sarah, Schmidt, Martin, Merten, Petra, Abdul Latif, Amira, Fischer, Kristina, Schulze, Agnes, Friederich, Pascal, Filiz, Volkan |
| المصدر: | ACS Applied Materials & Interfaces ; ISSN: 1944-8244, 1944-8252 |
| بيانات النشر: | American Chemical Society |
| سنة النشر: | 2024 |
| المجموعة: | KITopen (Karlsruhe Institute of Technologie) |
| مصطلحات موضوعية: | ddc:620, Engineering & allied operations, info:eu-repo/classification/ddc/620 |
| الوصف: | 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 were used to predict performance parameters, such as the pure water permeability and the zeta potential of membranes modified with new substances. The predictions had low prediction errors, which allowed us to generalize them to similar membrane modifications and processing conditions. Additionally, machine learning methods were able to identify the impact of substance properties and process parameters on the resulting membrane properties. Our results demonstrate that small data sets, as they are common in materials science, can be used as training data for predictive machine learning models. Therefore, machine learning shows great potential as a tool to expedite the development of high-performance membranes while reducing the time and costs associated with the development process at the same time. |
| نوع الوثيقة: | article in journal/newspaper |
| وصف الملف: | application/pdf |
| اللغة: | English |
| العلاقة: | info:eu-repo/semantics/altIdentifier/wos/001201281100001; info:eu-repo/semantics/altIdentifier/issn/1944-8244; info:eu-repo/semantics/altIdentifier/issn/1944-8252; https://publikationen.bibliothek.kit.edu/1000170192Test; https://publikationen.bibliothek.kit.edu/1000170192/152724359Test; https://doi.org/10.5445/IR/1000170192Test |
| DOI: | 10.5445/IR/1000170192 |
| الإتاحة: | https://doi.org/10.5445/IR/1000170192Test https://doi.org/10.1021/acsami.3c18805Test https://publikationen.bibliothek.kit.edu/1000170192Test https://publikationen.bibliothek.kit.edu/1000170192/152724359Test |
| حقوق: | https://creativecommons.org/licenses/by/4.0/deed.deTest ; info:eu-repo/semantics/openAccess |
| رقم الانضمام: | edsbas.C103C7C6 |
| قاعدة البيانات: | BASE |
| DOI: | 10.5445/IR/1000170192 |
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