| An adapting cohesive approach for crack-healing analysis in SMA fiber-reinforced composites M Karimi, H Bayesteh, S Mohammadi Computer Methods in Applied Mechanics and Engineering 349, 550-575, 2019 | 20 | 2019 |
| Energetic formulation of large‐deformation poroelasticity M Karimi, M Massoudi, N Walkington, M Pozzi, K Dayal International Journal for Numerical and Analytical Methods in Geomechanics …, 2022 | 5 | 2022 |
| High-dimensional nonlinear Bayesian inference of poroelastic fields from pressure data M Karimi, M Massoudi, K Dayal, M Pozzi Mathematics and Mechanics of Solids 28 (9), 2108-2131, 2023 | 4 | 2023 |
| A learning-based multiscale model for reactive flow in porous media M Karimi, K Bhattacharya arXiv preprint arXiv:2309.10933, 2023 | 2 | 2023 |
| Hessian-informed Hamiltonian Monte Carlo for high-dimensional problems M Karimi, K Dayal, M Pozzi arXiv preprint arXiv:2305.01576, 2023 | 2 | 2023 |
| Accelerated computational micromechanics for solute transport in porous media M Karimi, K Bhattacharya Computer Methods in Applied Mechanics and Engineering 426, 116976, 2024 | | 2024 |
| Deformation Decomposition versus Energy Decomposition for Chemo-and Poro-Mechanics J Chua, M Karimi, P Kozlowski, M Massoudi, S Narasimhachary, K Kadau, ... Journal of Applied Mechanics 91 (1), 014501, 2024 | | 2024 |
| Accelerated Computational Micromechanics for Reactive Flow in Porous Media M Karimi, K Bhattacharya arXiv preprint arXiv:2312.15554, 2023 | | 2023 |
| ML-enabled models of ground water transport processes M Karimi, K Bhattacharya AGU23, 2023 | | 2023 |
| Transformation-induced plasticity in SMA composites experiencing fiber bridging phenomenon A Ardali, J Rouzegar, S Mohammadi, M Karimi Materials Science and Engineering: A 858, 144105, 2022 | | 2022 |
| Bayesian Inference of Poroelastic Properties Using an Energy-Based Poromechanics Model M Karimi Carnegie Mellon University, 2022 | | 2022 |
| A Bayesian Framework for High-dimensional Inverse Problems with Application to Poroelasticity M Karimi, M Massoudi, K Dayal, M Pozzi AGU Fall Meeting Abstracts 2021, NG21A-03, 2021 | | 2021 |
| Bayesian inference of geological properties from induced seismicity data using an energy-based poromechanics model M Karimi, ES Cochran, M Massoudi, K Dayal, M Pozzi AGU Fall Meeting Abstracts 2020, NH003-0011, 2020 | | 2020 |
Kaushik DayalCarnegie Mellon UniversityVerified email at cmu.edu
