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Importance of machine learning in material science
Machine Learning: A methodology to explain and predict material behavior
Effect of aspect ratio on dynamic fracture toughness of particulate polymer composite using artificial neural network
Methodology of K-Nearest Neighbor for predicting the fracture toughness of polymer composites
Forward machine learning technique to predict dynamic fracture behavior of particulate composite
Predictive modelling of fracture behavior in silica-filled polymer composite subjected to impact with varying loading rates
Machine learning approach to determine the elastic modulus of Carbon fiber-reinforced laminates
Effect of weight ratio on mechanical behaviour of natural fiber based biocomposite using machine learning
Effect of natural fibers mechanical properties and fiber matrix adhesion strength to design biocomposite
Comparison of various machine learning algorithms to predict material behavior in GFRP.

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