Modeling the Mechanical Properties of a Polymer-Based Mixed-Matrix Membrane Using Deep Learning
Neural Networks
Zaid Alhulaybi,
Muhammad Martuza,
Sayeed Rushd
Abstract:Polylactic acid (PLA), the second most produced biopolymer, was selected for the fabrication of mixed-matrix membranes (MMMs) via the incorporation of HKUST-1 metal–organic framework (MOF) particles into a PLA matrix with the aim of improving mechanical characteristics. A deep learning neural network (DLNN) model was developed on the TensorFlow 2 backend to predict the mechanical properties, stress, strain, elastic modulus, and toughness of the PLA/HKUST-1 MMMs with different input parameters, such as PLA wt%,… Show more
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