‪Daniel Zhengyu Huang (黄政宇)‬

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Charbel FarhatVivian Church Hoff Professor in the School of Engineering, Stanford UniversityVerificeret mail på stanford.edu
Philip AveryResearch Engineer, Stanford UniversityVerificeret mail på stanford.edu
Jason RabinovitchAssistant Professor, Stevens Institute of TechnologyVerificeret mail på stevens.edu
Andrew M StuartComputing + Mathematical Sciences, CaltechVerificeret mail på caltech.edu
Armen DerkevorkianJet Propulsion Laboratory, California Institute of TechnologyVerificeret mail på jpl.nasa.gov
Jiaoyang HuangUniversity of PennsylvaniaVerificeret mail på wharton.upenn.edu
Zongyi LiCaltechVerificeret mail på caltech.edu
Eric DarveStanfordVerificeret mail på stanford.edu
Kailai XuStanford UniversityVerificeret mail på stanford.edu
Raunak BorkerSenior R&D Engineer, Discovery, AnsysVerificeret mail på ansys.com
Sebastian GrimbergAWS Center for Quantum ComputingVerificeret mail på amazon.com
Tapio SchneiderProfessor, California Institute of TechnologyVerificeret mail på caltech.edu
Anima AnandkumarCalifornia Institute of Technology and NVIDIAVerificeret mail på caltech.edu
Sebastian ReichUniversity of PotsdamVerificeret mail på uni-potsdam.de
Yifan ChenCourant Institute, NYUVerificeret mail på nyu.edu
Burigede LiuGranta Design Assistant Professor, University of CambridgeVerificeret mail på cam.ac.uk
Per-Olof PerssonUniversity of California, BerkeleyVerificeret mail på berkeley.edu
Matthew ZahrAssistant ProfessorVerificeret mail på nd.edu
Elizabeth QianGeorgia Institute of TechnologyVerificeret mail på gatech.edu
Maarten de HoopRice UniversityVerificeret mail på rice.edu

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Daniel Zhengyu Huang (黄政宇)

Andre navneZhengyu Huang

Peking University / Caltech / Stanford

Verificeret mail på bicmr.pku.edu.cn - Startside

Computational Mathematics Fluid Structure Interaction Bayesian Inverse Problems Machine Learning


Titel Sortér efter henvisninger Sortér efter årstal Sortér efter titel	Citeret af Citeret af	År
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	265	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	175	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	89	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	67*	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	21	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

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