@article{paperid:1099690,
author = {Eshkofti, Katayoun and Hosseini, Seyed Mahmoud},
title = {The modified physics-informed neural network (PINN) method for the thermoelastic wave propagation analysis based on the Moore-Gibson-Thompson theory in porous materials},
journal = {Composite Structures},
year = {2024},
volume = {348},
number = {1},
month = {November},
issn = {0263-8223},
pages = {118485--118485},
			numpages = {0},
keywords = {Moore-Gibson-Thompson (MGT) model; Coupled theory of thermoelasticity; Porous materials; physics-informed neural network (PINN); Adaptive hyperparameter tuning; generalized subset design (GSD); Bayesian optimization (BO).},
}