Daniel Zhengyu Huang
California Institute of Technology(US)Peking University(CN)Peking University International Hospital(CN)
Publications by Year
Research Areas
Model Reduction and Neural Networks, Gaussian Processes and Bayesian Inference, Computational Fluid Dynamics and Aerodynamics, Gas Dynamics and Kinetic Theory, Advanced Numerical Methods in Computational Mathematics
Most-Cited Works
- → Learning constitutive relations from indirect observations using deep neural networks(2020)174 cited
- → Learning constitutive relations using symmetric positive definite neural networks(2021)165 cited
- → Fourier Neural Operator with Learned Deformations for PDEs on General Geometries(2022)147 cited
- → Iterated Kalman methodology for inverse problems(2022)65 cited
- → Mesh adaptation framework for embedded boundary methods for computational fluid dynamics and fluid‐structure interaction(2019)52 cited
- → The Cost-Accuracy Trade-Off in Operator Learning with Neural Networks(2022)45 cited
- → A family of position- and orientation-independent embedded boundary methods for viscous flow and fluid–structure interaction problems