Daniel Zhengyu Huang
Orcid: 0000-0001-6072-9352Affiliations:
- California Institute of Technology, Pasadena, CA, USA
According to our database1,
Daniel Zhengyu Huang
authored at least 23 papers
between 2018 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
2023
SPFNO: Spectral operator learning for PDEs with Dirichlet and Neumann boundary conditions.
CoRR, 2023
Gradient Flows for Sampling: Mean-Field Models, Gaussian Approximations and Affine Invariance.
CoRR, 2023
2022
J. Open Source Softw., December, 2022
CoRR, 2022
CoRR, 2022
Bayesian Spline Learning for Equation Discovery of Nonlinear Dynamics with Quantified Uncertainty.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
2021
J. Comput. Phys., 2021
Bayesian Calibration for Large-Scale Fluid Structure Interaction Problems Under Embedded/Immersed Boundary Framework.
CoRR, 2021
Unscented Kalman Inversion: Efficient Gaussian Approximation to the Posterior Distribution.
CoRR, 2021
Improve Unscented Kalman Inversion With Low-Rank Approximation and Reduced-Order Model.
CoRR, 2021
2020
Learning constitutive relations from indirect observations using deep neural networks.
J. Comput. Phys., 2020
High-order partitioned spectral deferred correction solvers for multiphysics problems.
J. Comput. Phys., 2020
A computationally tractable framework for nonlinear dynamic multiscale modeling of membrane fabric.
CoRR, 2020
2019
Modeling, simulation and validation of supersonic parachute inflation dynamics during Mars landing.
CoRR, 2019
An Embedded Boundary Approach for Resolving the Contribution of Cable Subsystems to Fully Coupled Fluid-Structure Interaction.
CoRR, 2019
2018
A family of position- and orientation-independent embedded boundary methods for viscous flow and fluid-structure interaction problems.
J. Comput. Phys., 2018