| A Gauss–Newton full-waveform inversion for material profile reconstruction in viscoelastic semi-infinite solid media A Pakravan, JW Kang, CM Newtson Inverse Problems in Science and Engineering 24 (3), 393-421, 2016 | 21 | 2016 |
| Mean‐strain 10‐node tetrahedron with energy‐sampling stabilization A Pakravan, P Krysl International Journal for Numerical Methods in Engineering 109 (10), 1439-1460, 2017 | 14 | 2017 |
| A Gauss-Newton full-waveform inversion for material profile reconstruction in 1D PML-truncated solid media A Pakravan, JW Kang KSCE Journal of Civil Engineering 18, 1792-1804, 2014 | 12 | 2014 |
| Modification of the quadratic 10‐node tetrahedron for thin structures and stiff materials under large‐strain hyperelastic deformation P Nguyen, M Doškář, A Pakravan, P Krysl International Journal for Numerical Methods in Engineering 114 (6), 619-636, 2018 | 11 | 2018 |
| Mean‐strain 10‐node tetrahedron with energy‐sampling stabilization for nonlinear deformation A Pakravan, P Krysl International Journal for Numerical Methods in Engineering 111 (7), 603-623, 2017 | 11 | 2017 |
| Hybrid perfectly-matched-layers for transient simulation of scalar elastic waves A Pakravan, JW Kang, CM Newtson, LF Kallivokas Structural Engineering and Mechanics 51 (4), 685-705, 2014 | 9 | 2014 |
| A Gauss–Newton full-waveform inversion in PML-truncated domains using scalar probing waves A Pakravan, JW Kang, CM Newtson Journal of Computational Physics 350, 824-846, 2017 | 3 | 2017 |
| Performance Evaluation of a Time-Domain Gauss-Newton Full-waveform Inversion Method JW Kang, A Pakravan Journal of the Computational Structural Engineering Institute of Korea 26 (4 …, 2013 | 2 | 2013 |
| One-Dimensional Elastic and Viscoelastic Full-Waveform Inversion in Heterogeneous Media using Physics-Informed Neural Networks A Pakravan IEEE Access 12, 69922 - 69940, 2024 | 1 | 2024 |
| Solving Inverse Wave Equations in Heterogenous Media using an Algorithm based on Physics Informed Neural Networks A Pakravan, K Ayers 2023 Joint Mathematics Meetings (JMM 2023), 2023 | | 2023 |
| An Algorithm Based on Physics Informed Neural Networks for Solving Inverse Wave Equations A Pakravan California State University San Marcos, 2022 | | 2022 |
| Mixed finite element formulations to model elastic and viscoelastic behavior of heterogenous media A Pakravan New Mexico State University, 2014 | | 2014 |
| 시간영역 Gauss-Newton 전체파형 역해석 기법의 성능평가 강준원 한국전산구조공학회논문집 26 (4), 223-322, 2013 | | 2013 |