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Xuhui Meng
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2020 – today
- 2024
- [j9]Zongren Zou
, Xuhui Meng, George Em Karniadakis:
Correcting model misspecification in physics-informed neural networks (PINNs). J. Comput. Phys. 505: 112918 (2024) - [j8]Zongren Zou
NeuralUQ: A Comprehensive Library for Uncertainty Quantification in Neural Differential Equations and Operators. SIAM Rev. 66(1): 161-190 (2024) - 2023
- [j7]Apostolos F. Psaros, Xuhui Meng, Zongren Zou
Uncertainty quantification in scientific machine learning: Methods, metrics, and comparisons. J. Comput. Phys. 477: 111902 (2023) - [i15]Zhiping Mao, Xuhui Meng:
Physics-informed neural networks with residual/gradient-based adaptive sampling methods for solving PDEs with sharp solutions. CoRR abs/2302.08035 (2023) - [i14]Xuhui Meng:
Variational inference in neural functional prior using normalizing flows: Application to differential equation and operator learning problems. CoRR abs/2302.10448 (2023) - [i13]Minglei Lu, Ali Mohammadi, Zhaoxu Meng
Deep neural operator for learning transient response of interpenetrating phase composites subject to dynamic loading. CoRR abs/2303.18055 (2023) - [i12]Kamaljyoti Nath, Xuhui Meng, Daniel J. Smith, George Em Karniadakis:
Physics-informed neural networks for predicting gas flow dynamics and unknown parameters in diesel engines. CoRR abs/2304.13799 (2023) - [i11]Zongren Zou, Xuhui Meng, George Em Karniadakis:
Correcting model misspecification in physics-informed neural networks (PINNs). CoRR abs/2310.10776 (2023) - [i10]Zongren Zou, Xuhui Meng, George Em Karniadakis:
Uncertainty quantification for noisy inputs-outputs in physics-informed neural networks and neural operators. CoRR abs/2311.11262 (2023) - 2022
- [j6]Xuhui Meng, Liu Yang, Zhiping Mao, José del Águila Ferrandis
Learning functional priors and posteriors from data and physics. J. Comput. Phys. 457: 111073 (2022) - [i9]Apostolos F. Psaros, Xuhui Meng, Zongren Zou, Ling Guo, George Em Karniadakis:
Uncertainty Quantification in Scientific Machine Learning: Methods, Metrics, and Comparisons. CoRR abs/2201.07766 (2022) - [i8]Kevin Linka, Amelie Schäfer, Xuhui Meng, Zongren Zou, George Em Karniadakis, Ellen Kuhl
Bayesian Physics-Informed Neural Networks for real-world nonlinear dynamical systems. CoRR abs/2205.08304 (2022) - [i7]Zongren Zou, Xuhui Meng, Apostolos F. Psaros, George Em Karniadakis:
NeuralUQ: A comprehensive library for uncertainty quantification in neural differential equations and operators. CoRR abs/2208.11866 (2022) - 2021
- [j5]Liu Yang
B-PINNs: Bayesian physics-informed neural networks for forward and inverse PDE problems with noisy data. J. Comput. Phys. 425: 109913 (2021) - [j4]Xuhui Meng, Hessam Babaee, George Em Karniadakis:
Multi-fidelity Bayesian neural networks: Algorithms and applications. J. Comput. Phys. 438: 110361 (2021) - [j3]Qin Lou, Xuhui Meng, George Em Karniadakis:
Physics-informed neural networks for solving forward and inverse flow problems via the Boltzmann-BGK formulation. J. Comput. Phys. 447: 110676 (2021) - [j2]Lu Lu
DeepXDE: A Deep Learning Library for Solving Differential Equations. SIAM Rev. 63(1): 208-228 (2021) - [i6]Xuhui Meng, Liu Yang, Zhiping Mao, José del Águila Ferrandis, George Em Karniadakis:
Learning Functional Priors and Posteriors from Data and Physics. CoRR abs/2106.05863 (2021) - [i5]Jeremy Yu, Lu Lu, Xuhui Meng, George Em Karniadakis:
Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems. CoRR abs/2111.02801 (2021) - 2020
- [j1]Xuhui Meng, George Em Karniadakis:
A composite neural network that learns from multi-fidelity data: Application to function approximation and inverse PDE problems. J. Comput. Phys. 401 (2020) - [c1]Lu Lu, Xuhui Meng, Zhiping Mao, George Em Karniadakis:
DeepXDE: A Deep Learning Library for Solving Differential Equations. AAAI Spring Symposium: MLPS 2020 - [i4]Liu Yang, Xuhui Meng, George Em Karniadakis:
B-PINNs: Bayesian Physics-Informed Neural Networks for Forward and Inverse PDE Problems with Noisy Data. CoRR abs/2003.06097 (2020) - [i3]Xuhui Meng, Hessam Babaee, George Em Karniadakis:
Multi-fidelity Bayesian Neural Networks: Algorithms and Applications. CoRR abs/2012.13294 (2020)
2010 – 2019
- 2019
- [i2]Lu Lu, Xuhui Meng, Zhiping Mao, George E. Karniadakis:
DeepXDE: A deep learning library for solving differential equations. CoRR abs/1907.04502 (2019) - [i1]Xuhui Meng, Zhen Li, Dongkun Zhang, George Em Karniadakis:
PPINN: Parareal Physics-Informed Neural Network for time-dependent PDEs. CoRR abs/1909.10145 (2019)
Coauthor Index
aka: George E. Karniadakis
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