Predicting the Young's Modulus of biomedical titanium alloys using machine learning: a data-driven approach.
This study presents a machine learning framework for predicting the Young's Modulus (YM) of biomedical titanium alloys to address stress shielding in implant applications. A Deep Neural Network (DNN) was developed using nineteen compositional features and physically meaningful descriptors. Prior to model training, the...