| A nonlocal physics-informed deep learning framework using the peridynamic differential operator E Haghighat, AC Bekar, E Madenci, R Juanes Computer Methods in Applied Mechanics and Engineering 385, 114012, 2021 | 95 | 2021 |
| Peridynamics enabled learning partial differential equations AC Bekar, E Madenci Journal of Computational Physics 434, 110193, 2021 | 16 | 2021 |
| On the solution of hyperbolic equations using the peridynamic differential operator AC Bekar, E Madenci, E Haghighat Computer Methods in Applied Mechanics and Engineering 391, 114574, 2022 | 15 | 2022 |
| Deep learning for solution and inversion of structural mechanics and vibrations E Haghighat, A Can Bekar, E Madenci, R Juanes Modeling and Computation in Vibration Problems, Volume 2: Soft computing and …, 2021 | 12 | 2021 |
| An unsupervised latent/output physics-informed convolutional-LSTM network for solving partial differential equations using peridynamic differential operator A Mavi, AC Bekar, E Haghighat, E Madenci Computer Methods in Applied Mechanics and Engineering 407, 115944, 2023 | 11 | 2023 |
| Solving the eikonal equation for compressional and shear waves in anisotropic media using peridynamic differential operator AC Bekar, E Madenci, E Haghighat, U Waheed, T Alkhalifah Geophysical Journal International 229 (3), 1942-1963, 2022 | 9 | 2022 |
| Multiphysics discovery with moving boundaries using Ensemble SINDy and Peridynamic Differential Operator AC Bekar, E Haghighat, E Madenci arXiv preprint arXiv:2303.15631, 2023 | | 2023 |
| Nonlocal Physics Informed Machine Learning Algorithms Using Peridynamic Differential Operator AC Bekar The University of Arizona, 2023 | | 2023 |
Erdogan MadenciUniversity of ArizonaE-mail megerősítve itt: email.arizona.edu
