Xuhui Meng
According to our database1,
Xuhui Meng
authored at least 17 papers
between 2019 and 2024.
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Bibliography
2024
NeuralUQ: A Comprehensive Library for Uncertainty Quantification in Neural Differential Equations and Operators.
SIAM Rev., February, 2024
2023
Uncertainty quantification in scientific machine learning: Methods, metrics, and comparisons.
J. Comput. Phys., March, 2023
Uncertainty quantification for noisy inputs-outputs in physics-informed neural networks and neural operators.
CoRR, 2023
CoRR, 2023
Physics-informed neural networks for predicting gas flow dynamics and unknown parameters in diesel engines.
CoRR, 2023
Deep neural operator for learning transient response of interpenetrating phase composites subject to dynamic loading.
CoRR, 2023
Variational inference in neural functional prior using normalizing flows: Application to differential equation and operator learning problems.
CoRR, 2023
Physics-informed neural networks with residual/gradient-based adaptive sampling methods for solving PDEs with sharp solutions.
CoRR, 2023
2022
J. Comput. Phys., 2022
Bayesian Physics-Informed Neural Networks for real-world nonlinear dynamical systems.
CoRR, 2022
2021
B-PINNs: Bayesian physics-informed neural networks for forward and inverse PDE problems with noisy data.
J. Comput. Phys., 2021
J. Comput. Phys., 2021
Physics-informed neural networks for solving forward and inverse flow problems via the Boltzmann-BGK formulation.
J. Comput. Phys., 2021
Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems.
CoRR, 2021
2020
A composite neural network that learns from multi-fidelity data: Application to function approximation and inverse PDE problems.
J. Comput. Phys., 2020
2019