New publication on Machine Learning Models for Predicting Fracture Strength of Porous Ceramics and Glasses

S. Swaminathan, T. Shah, B. Sirkeci-Mergen, and O. Keles, “MachineLearning Models for Predicting Fracture Strength of Porous Ceramics and Glasses,” Proceedings of the 2018 International Conference on Data Science, (2018) pp. 147–150. Abstract – One of the crucial factors that determine the quality of a material is its ability to withstand stress. Classical methods to analyze fracture […]

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