YAN, CHENG ANGELO
YAN, CHENG ANGELO
DIPARTIMENTO DI SCIENZE E TECNOLOGIE AEROSPAZIALI
A framework based on physics-informed neural networks and extreme learning for the analysis of composite structures
2022-01-01 Yan, C. A.; Vescovini, R.; Dozio, L.
A neural network-based approach for bending analysis of strain gradient nanoplates
2023-01-01 Yan, C. A.; Vescovini, R.; Fantuzzi, N.
A Neural Network-based Approach for Strain Gradient Nanoplates
2022-01-01 Yan, C. A.; Vescovini, R.; Fantuzzi, N.
A Numerical-Asymptotic Framework Based on the ps-FEM for the Analysis of Laminated Shells
2023-01-01 Yan, C. A.; Vescovini, R.
A ps-FEM Approach for the Analysis of Laminated Shells
2022-01-01 Yan, C. A.; Vescovini, R.
A Semi-Analytical Framework for Nonlinear Vibration Analysis of Variable Stiffness Plates
2021-01-01 Yan, C. A.; Vescovini, R.; Jansen, E. L.
Analysis of Lightweight Structures Using Physics Informed Neural Networks
2021-01-01 Yan, C. A.; Vescovini, R.; Dozio, L.
Analysis of Thin-Walled Composite Structures Using Physics-Informed Neural Networks and Extreme Learning
2021-01-01 Vescovini, R.; Yan, C. A.; Dozio, L.
Analysis of Variable Stiffness Structures Using Physics Informed Neural Networks
2021-01-01 Yan, C. A.; Vescovini, R.; Dozio, L.
Application of the ps-Version of the Finite Element Method to the Analysis of Laminated Shells
2023-01-01 Yan, Cheng Angelo; Vescovini, Riccardo
Non-linear vibrations of variable-sti ness plates: Fast analysis using semi-analytical methods
2020-01-01 Yan, C. A.; Vescovini, R.; Jansen, E. L.
Physics-Informed Neural Networks for the Analysis of Composite Structures
2020-01-01 Yan, C. A.; Vescovini, R.; Dozio, L.
Postbuckling of Curvilinearly-Stiffened Panels via Asymptotic-Numerical Approach
2023-01-01 Foligno, P. P.; Yan, C. A.; Vescovini, R.
Strong- and Weak-Form Physics Informed Neural Networks for the Analysis of Composite Plates and Shells
2021-01-01 Barcelona Moreno, Iván; Yan, Cheng Angelo; Vescovini, Riccardo