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This study utilizes molecular simulation and machine learning to predict the modulus of elasticity for various compositions of bioactive glasses, specifically focusing on 45S5 bioglass with different P2O5 concentrations. The research demonstrates that Na2O significantly influences elasticity, and the combination of molecular simulation with machine learning can enhance the efficiency of predicting mechanical properties. The findings aim to facilitate the development of bioactive glasses for medical applicat

Author

jcadeoliveira

Language

EN