• A machine learning-based approach for fiber-reinforced polypropylene composites design.
• An artificial neural network to predict the load–displacement curves for targeted composite materials.
• Reduce time and effort of the material designers for intelligent product design.
• System identification through sparse identification of nonlinear dynamical systems.
• An approach for smart manufacturing focusing on Industry 4.0.
Details can be found in the following published journal: https://doi.org/10.1016/j.compstruct.2020.113207