DeepNetBeam

The code and database provided in this repository are related to the paper "DeepNetBeam: A Framework for the Analysis of Functionally Graded Porous Beams", which explores the application of various machine-learning techniques for the analysis of functionally graded porous beams. The three approaches (PINN, DEM, Neural Operator) are implemented to allow flexibility and extension for future use.

The datasets cover the required database for sections 2 and 3.

You can also generate the datasets using the provided scripts.