Multi-fidelity Bayesian neural networks: Algorithms and applications X Meng, H Babaee, GE Karniadakis Journal of Computational Physics 438, 110361, 2021 | 149 | 2021 |
Mechanistic insights into human brain impact dynamics through modal analysis K Laksari, M Kurt, H Babaee, S Kleiven, D Camarillo Physical review letters 120 (13), 138101, 2018 | 85 | 2018 |
Deep learning of turbulent scalar mixing M Raissi, H Babaee, P Givi Physical Review Fluids 4 (12), 124501, 2019 | 73 | 2019 |
A minimization principle for the description of modes associated with finite-time instabilities H Babaee, TP Sapsis Proceedings of the Royal Society A: Mathematical, Physical and Engineering …, 2016 | 73* | 2016 |
A quantum-inspired approach to exploit turbulence structures N Gourianov, M Lubasch, S Dolgov, QY van den Berg, H Babaee, P Givi, ... Nature Computational Science 2 (1), 30-37, 2022 | 72 | 2022 |
Physics-informed neural networks for brain hemodynamic predictions using medical imaging M Sarabian, H Babaee, K Laksari IEEE transactions on medical imaging 41 (9), 2285-2303, 2022 | 59 | 2022 |
Multi-fidelity modelling of mixed convection based on experimental correlations and numerical simulations H Babaee, P Perdikaris, C Chryssostomidis, GE Karniadakis Journal of Fluid Mechanics 809, 895-917, 2016 | 56 | 2016 |
Reduced-order description of transient instabilities and computation of finite-time Lyapunov exponents H Babaee, M Farazmand, G Haller, TP Sapsis Chaos: An Interdisciplinary Journal of Nonlinear Science 27 (6), 2017 | 50 | 2017 |
A phase-field method for 3D simulation of two-phase heat transfer X Zheng, H Babaee, S Dong, C Chryssostomidis, GE Karniadakis International Journal of Heat and Mass Transfer 82, 282-298, 2015 | 46 | 2015 |
On-the-fly reduced order modeling of passive and reactive species via time-dependent manifolds D Ramezanian, AG Nouri, H Babaee Computer Methods in Applied Mechanics and Engineering 382, 113882, 2021 | 40 | 2021 |
A robust bi-orthogonal/dynamically-orthogonal method using the covariance pseudo-inverse with application to stochastic flow problems H Babaee, M Choi, TP Sapsis, GE Karniadakis Journal of Computational Physics 344, 303-319, 2017 | 38 | 2017 |
Learning stiff chemical kinetics using extended deep neural operators S Goswami, AD Jagtap, H Babaee, BT Susi, GE Karniadakis Computer Methods in Applied Mechanics and Engineering 419, 116674, 2024 | 34 | 2024 |
Parametric Gaussian process regression for big data M Raissi, H Babaee, GE Karniadakis Computational Mechanics 64, 409-416, 2019 | 34 | 2019 |
Effect of uncertainty in blowing ratio on film cooling effectiveness H Babaee, X Wan, S Acharya Journal of heat transfer 136 (3), 031701, 2014 | 32 | 2014 |
Real-time reduced-order modeling of stochastic partial differential equations via time-dependent subspaces P Patil, H Babaee Journal of Computational Physics 415, 109511, 2020 | 31 | 2020 |
Computing sensitivities in evolutionary systems: a real-time reduced order modeling strategy M Donello, MH Carpenter, H Babaee SIAM Journal on Scientific Computing 44 (1), A128-A149, 2022 | 27 | 2022 |
An observation-driven time-dependent basis for a reduced description of transient stochastic systems H Babaee Proceedings of the Royal Society A 475 (2231), 20190506, 2019 | 22 | 2019 |
Optimization of forcing parameters of film cooling effectiveness H Babaee, S Acharya, X Wan Journal of Turbomachinery 136 (6), 061016, 2014 | 22 | 2014 |
Oblique projection for scalable rank-adaptive reduced-order modelling of nonlinear stochastic partial differential equations with time-dependent bases M Donello, G Palkar, MH Naderi, DC Del Rey Fernández, H Babaee Proceedings of the Royal Society A 479 (2278), 20230320, 2023 | 21 | 2023 |
Skeletal model reduction with forced optimally time dependent modes AG Nouri, H Babaee, P Givi, HK Chelliah, D Livescu Combustion and Flame 235, 111684, 2022 | 20 | 2022 |