Researchers at Lawrence Livermore National Laboratory have developed a computational framework to analyze and understand the relationship between the microstructure of porous polymer materials and their properties. This framework combines physics-based modeling, microstructure feature extraction, and machine learning to evaluate how various microstructural features influence the material’s properties. The study aims to guide the design of advanced polymeric materials for applications such as membranes by tailoring specific microstructures to achieve desired properties.
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