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ORCIDHessam Babaee
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2020 – today
- 2025
[j10]Aidyn Aitzhan, Arash G. Nouri, Peyman Givi, Hessam Babaee:
Reduced order modeling of turbulent reacting flows on low-rank matrix manifolds. J. Comput. Phys. 521: 113549 (2025)- 2024
- [i14]Behzad Ghahremani, Hessam Babaee:
A DEIM Tucker Tensor Cross Algorithm and its Application to Dynamical Low-Rank Approximation. CoRR abs/2401.04249 (2024) - [i13]Shaghayegh Zamani Ashtiani, Mohammad Sarabian, Kaveh Laksari, Hessam Babaee:
Reconstructing Blood Flow in Data-Poor Regimes: A Vasculature Network Kernel for Gaussian Process Regression. CoRR abs/2403.09758 (2024) - [i12]Behzad Ghahremani, Hessam Babaee:
Cross Algorithms for Cost-Effective Time Integration of Nonlinear Tensor Differential Equations on Low-Rank Tucker Tensor and Tensor Train Manifolds. CoRR abs/2403.12826 (2024) - [i11]Mohammad Hossein Naderi, Sara Akhavan, Hessam Babaee:
CUR for Implicit Time Integration of Random Partial Differential Equations on Low-Rank Matrix Manifolds. CoRR abs/2408.16591 (2024) - 2023
- [j9]Prerna Patil, Hessam Babaee:
Reduced-Order Modeling with Time-Dependent Bases for PDEs with Stochastic Boundary Conditions. SIAM/ASA J. Uncertain. Quantification 11(3): 727-756 (2023) - [i10]Somdatta Goswami, Ameya D. Jagtap, Hessam Babaee, Bryan T. Susi, George Em Karniadakis:
Learning stiff chemical kinetics using extended deep neural operators. CoRR abs/2302.12645 (2023) - [i9]Michael Donello, G. Palkar, Mohammad Hossein Naderi, David C. Del Rey Fernández, Hessam Babaee:
CUR Decomposition for Scalable Rank-Adaptive Reduced-Order Modeling of Nonlinear Stochastic PDEs with Time-Dependent Bases. CoRR abs/2305.04291 (2023) - [i8]Alireza Amiri-Margavi, Hessam Babaee:
Low-Rank Solution Operator for Forced Linearized Dynamics with Unsteady Base Flows. CoRR abs/2312.00790 (2023) - 2022
- [j8]Shaghayegh Zamani Ashtiani
, Mujeeb R. Malik, Hessam Babaee:
Scalable in situ compression of transient simulation data using time-dependent bases. J. Comput. Phys. 468: 111457 (2022) - [j7]Nikita Gourianov, Michael Lubasch, Sergey Dolgov, Quincy Y. van den Berg, Hessam Babaee, Peyman Givi, Martin Kiffner, Dieter Jaksch:
A quantum-inspired approach to exploit turbulence structures. Nat. Comput. Sci. 2(1): 30-37 (2022) - [j6]Michael Donello, Mark H. Carpenter, Hessam Babaee:
Computing Sensitivities in Evolutionary Systems: A Real-Time Reduced Order Modeling Strategy. SIAM J. Sci. Comput. 44(1): 128- (2022) - [j5]Mohammad Sarabian, Hessam Babaee, Kaveh Laksari:
Physics-Informed Neural Networks for Brain Hemodynamic Predictions Using Medical Imaging. IEEE Trans. Medical Imaging 41(9): 2285-2303 (2022) - [i7]Shaghayegh Zamani Ashtiani, Mujeeb R. Malik, Hessam Babaee:
Scalable In Situ Compression of Transient Simulation Data Using Time-Dependent Bases. CoRR abs/2201.06958 (2022) - [i6]Mohammad Hossein Naderi, Hessam Babaee:
Adaptive sparse interpolation for accelerating nonlinear stochastic reduced-order modeling with time-dependent bases. CoRR abs/2207.10656 (2022) - 2021
- [j4]Xuhui Meng, Hessam Babaee, George Em Karniadakis:
Multi-fidelity Bayesian neural networks: Algorithms and applications. J. Comput. Phys. 438: 110361 (2021) - [i5]Donya Ramezanian, Arash G. Nouri, Hessam Babaee:
On-the-fly Reduced Order Modeling of Passive and Reactive Species via Time-Dependent Manifolds. CoRR abs/2101.03847 (2021) - [i4]Mohammad Sarabian, Hessam Babaee, Kaveh Laksari:
Physics-informed neural networks for improving cerebral hemodynamics predictions. CoRR abs/2108.11498 (2021) - [i3]Prerna Patil, Hessam Babaee:
Reduced order modeling with time-dependent bases for PDEs with stochastic boundary conditions. CoRR abs/2112.14326 (2021) - 2020
- [j3]Prerna Patil, Hessam Babaee:
Real-time reduced-order modeling of stochastic partial differential equations via time-dependent subspaces. J. Comput. Phys. 415: 109511 (2020) - [i2]Xuhui Meng, Hessam Babaee, George Em Karniadakis:
Multi-fidelity Bayesian Neural Networks: Algorithms and Applications. CoRR abs/2012.13294 (2020)
2010 – 2019
- 2018
- [j2]Dongkun Zhang, Hessam Babaee, George E. Karniadakis:
Stochastic Domain Decomposition via Moment Minimization. SIAM J. Sci. Comput. 40(4): A2152-A2173 (2018) - [i1]Maziar Raissi, Hessam Babaee, Peyman Givi:
Deep Learning of Turbulent Scalar Mixing. CoRR abs/1811.07095 (2018) - 2017
- [j1]Hessam Babaee, Minseok Choi, Themistoklis P. Sapsis, George E. Karniadakis:
A robust bi-orthogonal/dynamically-orthogonal method using the covariance pseudo-inverse with application to stochastic flow problems. J. Comput. Phys. 344: 303-319 (2017)
Coauthor Index
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