| Fourier neural operator with learned deformations for pdes on general geometries Z Li, DZ Huang, B Liu, A Anandkumar Journal of Machine Learning Research 24 (388), 1-26, 2023 | 264 | 2023 |
| Learning constitutive relations from indirect observations using deep neural networks DZ Huang*, K Xu*, C Farhat, E Darve Journal of Computational Physics 416, 109491, 2020 | 208* | 2020 |
| Learning constitutive relations using symmetric positive definite neural networks K Xu*, DZ Huang*, E Darve Journal of Computational Physics 428, 110072, 2021 | 176 | 2021 |
| The cost-accuracy trade-off in operator learning with neural networks M De Hoop*, DZ Huang*, E Qian*, AM Stuart* Journal of Machine Learning 1, 299-341, 2022 | 90 | 2022 |
| Iterated Kalman methodology for inverse problems DZ Huang, T Schneider, AM Stuart Journal of Computational Physics 463, 111262, 2022 | 69* | 2022 |
| Mesh adaptation framework for embedded boundary methods for computational fluid dynamics and fluid‐structure interaction R Borker, D Huang, S Grimberg, C Farhat, P Avery, J Rabinovitch International Journal for Numerical Methods in Fluids 90 (8), 389-424, 2019 | 66* | 2019 |
| Modeling, simulation and validation of supersonic parachute inflation dynamics during Mars landing DZ Huang, P Avery, C Farhat, J Rabinovitch, A Derkevorkian, ... AIAA scitech 2020 forum, 0313, 2020 | 60 | 2020 |
| Efficient derivative-free Bayesian inference for large-scale inverse problems DZ Huang, J Huang, S Reich, AM Stuart Inverse Problems 38 (12), 125006, 2022 | 50* | 2022 |
| A family of position-and orientation-independent embedded boundary methods for viscous flow and fluid–structure interaction problems DZ Huang, D De Santis, C Farhat Journal of Computational Physics 365, 74-104, 2018 | 46* | 2018 |
| Simulation of parachute inflation dynamics using an Eulerian computational framework for fluid-structure interfaces evolving in high-speed turbulent flows Z Huang, P Avery, C Farhat, J Rabinovitch, A Derkevorkian, LD Peterson 2018 AIAA Aerospace Sciences Meeting, 1540, 2018 | 42 | 2018 |
| An embedded boundary approach for resolving the contribution of cable subsystems to fully coupled fluid‐structure interaction DZ Huang, P Avery, C Farhat International Journal for Numerical Methods in Engineering 122 (19), 5409-5429, 2021 | 30 | 2021 |
| A computationally tractable framework for nonlinear dynamic multiscale modeling of membrane woven fabrics P Avery, DZ Huang, W He, J Ehlers, A Derkevorkian, C Farhat International Journal for Numerical Methods in Engineering 122 (10), 2598-2625, 2021 | 30 | 2021 |
| Power iteration for tensor PCA J Huang, DZ Huang, Q Yang, G Cheng Journal of Machine Learning Research 23 (128), 1-47, 2022 | 29 | 2022 |
| High-order, linearly stable, partitioned solvers for general multiphysics problems based on implicit–explicit Runge–Kutta schemes DZ Huang, PO Persson, MJ Zahr Computer Methods in Applied Mechanics and Engineering 346, 674-706, 2019 | 28 | 2019 |
| Convergence analysis of probability flow ODE for score-based generative models DZ Huang*, J Huang*, Z Lin* arXiv preprint arXiv:2404.09730, 2024 | 20 | 2024 |
| Long random matrices and tensor unfolding G Ben Arous*, DZ Huang*, J Huang* The Annals of Applied Probability 33 (6B), 5753-5780, 2023 | 20 | 2023 |
| High-order partitioned spectral deferred correction solvers for multiphysics problems DZ Huang, W Pazner, PO Persson, MJ Zahr Journal of Computational Physics 412, 109441, 2020 | 19 | 2020 |
| AI-aided geometric design of anti-infection catheters T Zhou*, X Wan*, DZ Huang, Z Li, Z Peng, A Anandkumar, JF Brady, ... Science Advances 10 (1), eadj1741, 2024 | 18 | 2024 |
| Gradient Flows for Sampling: Mean-Field Models, Gaussian Approximations and Affine Invariance Y Chen*, DZ Huang*, J Huang*, S Reich*, AM Stuart* arXiv preprint arXiv:2302.11024, 2023 | 17 | 2023 |
| Towards a validated fsi computational framework for supersonic parachute deployments J Rabinovitch, DZ Huang, R Borker, P Avery, C Farhat, A Derkevorkian, ... AIAA Aviation 2019 Forum, 3275, 2019 | 15 | 2019 |
Charbel FarhatVivian Church Hoff Professor in the School of Engineering, Stanford UniversityVerified email at stanford.edu
