Concepedia

Daniel Zhengyu Huang

DZ

14

Publications

825

Citations

13

H-Index

2018

Active since

Affiliations

Stanford University(Current)

California Institute of Technology

University of Notre Dame

University of California, Berkeley

Daniel Zhengyu Huang is an author at Stanford University specializing in engineering, numerical analysis, and machine learning.

Top concepts

EngineeringNumerical AnalysisMachine LearningComputer ScienceInverse ProblemsNumerical SimulationComputational MechanicsStatisticsDeep LearningFluid Dynamics

Publications per year

2018–2024

14

Publications

14

Learning constitutive relations from indirect observations using deep neural networks

Daniel Zhengyu Huang, Kailai Xu, Charbel Farhat et al. · Journal of Computational Physics · 2020 · 171 citations · Full text

Natural Language Processing, Structured Prediction, Deep Neural Networks +9

Learning constitutive relations using symmetric positive definite neural networks

Kailai Xu, Daniel Zhengyu Huang, Eric Darve · Journal of Computational Physics · 2021 · 164 citations · Full text

Natural Language Processing, Engineering, Machine Learning +6

Fourier Neural Operator with Learned Deformations for PDEs on General Geometries

Zongyi Li, Daniel Zhengyu Huang, Burigede Liu et al. · arXiv (Cornell University) · 2022 · 146 citations · Full text

Numerical Analysis, Geometric Learning, Engineering +20

Iterated Kalman methodology for inverse problems

Daniel Zhengyu Huang, Tapio Schneider, Andrew M. Stuart · Journal of Computational Physics · 2022 · 63 citations

State Estimation, Numerical Analysis, Mathematical Programming +5

Mesh adaptation framework for embedded boundary methods for computational fluid dynamics and fluid‐structure interaction

Raunak Borker, Daniel Zhengyu Huang, Sebastian Grimberg et al. · International Journal for Numerical Methods in Fluids · 2019 · 52 citations

Numerical Analysis, Engineering, Fluid Mechanics +17

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