Applications of Scientific Machine Learning for the Analysis of Functionally Graded Porous Beams

Mohammad Sadegh Eshaghi, Mostafa Bamdad, Cosmin Anitescu +3

This study investigates different Scientific Machine Learning (SciML) approaches for the analysis of functionally graded (FG) porous beams and compares them under a new framework.…