Xuhui Meng

1. DeepXDE: A Deep Learning Library for Solving Differential Equations
   2021/01/01 by Lu Lu, Xuhui Meng, Zhiping Mao +1 · 120 citations
   Physics and Astronomy · Decision Sciences · Materials Science · #Model Reduction and Neural Networks #Probabilistic and Robust Engineering Design #Magnetic Properties and Applications
2. A composite neural network that learns from multi-fidelity data: Application to function approximation and inverse PDE problems
   2019/10/11 by Xuhui Meng, George Em Karniadakis · 71 citations
   Physics and Astronomy · Engineering · Decision Sciences · #Model Reduction and Neural Networks #Nuclear Engineering Thermal-Hydraulics #Probabilistic and Robust Engineering Design
3. B-PINNs: Bayesian physics-informed neural networks for forward and inverse PDE problems with noisy data
   2020/10/15 by Liu Yang, Xuhui Meng, George Em Karniadakis · 64 citations
   Computer Science · Engineering · Physics and Astronomy · #Gaussian Processes and Bayesian Inference #Model Reduction and Neural Networks #Nuclear reactor physics and engineering
4. Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems
   2022/03/18 by Jeremy Yu, Lu Lu, Xuhui Meng +1 · 55 citations
   Engineering · Materials Science · Physics and Astronomy · #Fluid Dynamics and Turbulent Flows #Magnetic Properties and Applications #Model Reduction and Neural Networks
5. PPINN: Parareal physics-informed neural network for time-dependent PDEs
   2020/07/08 by Xuhui Meng, Zhen Li, Dongkun Zhang +1 · 32 citations
   Physics and Astronomy · Computer Science · #Model Reduction and Neural Networks #Neural Networks and Reservoir Computing #Neural Networks and Applications
6. Multi-fidelity Bayesian neural networks: Algorithms and applications
   2021/04/16 by Xuhui Meng, Hessam Babaee, George Em Karniadakis · 20 citations
   Physics and Astronomy · Computer Science · Engineering · #Model Reduction and Neural Networks #Gaussian Processes and Bayesian Inference #Reservoir Engineering and Simulation Methods
7. Uncertainty quantification for noisy inputs-outputs in physics-informed neural networks and neural operators
   2023/11/19 by Zongren Zou, Zou, Zongren, Xuhui Meng +3 · 9 citations
   Computer Science · Physics and Astronomy · #Adversarial Robustness in Machine Learning #Computational Physics (physics.comp-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Neural Networks and Applications
8. Solution multiplicity and effects of data and eddy viscosity on Navier-Stokes solutions inferred by physics-informed neural networks
   2023/09/12 by Zhicheng Wang, Wang, Zhicheng, Xuhui Meng +7 · 4 citations
   Physics and Astronomy · Engineering · #Model Reduction and Neural Networks #Fluid Dynamics and Turbulent Flows #Heat Transfer Mechanisms