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Mengwu Guo
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Cited by
Cited by
Year
Reduced order modeling for nonlinear structural analysis using Gaussian process regression
M Guo, JS Hesthaven
Computer Methods in Applied Mechanics and Engineering 341, 807-826, 2018
1752018
Data-driven reduced order modeling for time-dependent problems
M Guo, JS Hesthaven
Computer Methods in Applied Mechanics and Engineering 345, 75-99, 2019
1652019
Non-intrusive reduced-order modeling for fluid problems: A brief review
J Yu, C Yan, M Guo
Proceedings of the Institution of Mechanical Engineers, Part G: Journal of …, 2019
582019
A non-intrusive multifidelity method for the reduced order modeling of nonlinear problems
M Kast, M Guo, JS Hesthaven
Computer Methods in Applied Mechanics and Engineering 364, 112947, 2020
322020
Multi-fidelity regression using artificial neural networks: Efficient approximation of parameter-dependent output quantities
M Guo, A Manzoni, M Amendt, P Conti, JS Hesthaven
Computer Methods in Applied Mechanics and Engineering 389, 114378, 2022
272022
Energy-Based Error Bound of Physics-Informed Neural Network Solutions in Elasticity
M Guo, E Haghighat
Journal of Engineering Mechanics 148 (8), 04022038, 2022
222022
Model order reduction for large-scale structures with local nonlinearities
Z Zhang, M Guo, JS Hesthaven
Computer Methods in Applied Mechanics and Engineering 353, 491-515, 2019
112019
Bayesian operator inference for data-driven reduced-order modeling
M Guo, SA McQuarrie, KE Willcox
Computer Methods in Applied Mechanics and Engineering 402, 115336, 2022
102022
Goal-oriented error estimation for beams on elastic foundation with double shear effect
M Guo, H Zhong
Applied mathematical modelling 39 (16), 4699-4714, 2015
52015
A brief note on understanding neural networks as Gaussian processes
M Guo
arXiv preprint arXiv:2107.11892, 2021
42021
A second-order perturbation method for fuzzy eigenvalue problems
M Guo, H Zhong, K You
Engineering Computations, 2016
32016
Multi-fidelity surrogate modeling using long short-term memory networks
P Conti, M Guo, A Manzoni, JS Hesthaven
Computer Methods in Applied Mechanics and Engineering 404, 115811, 2023
22023
Uncertainty Quantification for Physics-Informed Deep Learning
M Guo, C Brune
Mathematics: Key Enabling Technology for Scientific Machine Learning, 47-51, 2021
22021
Strict upper and lower bounds for quantities of interest in static response sensitivity analysis
M Guo, H Zhong
Applied Mathematical Modelling 49, 17-34, 2017
22017
Weak form quadrature solution of 2mth-order Fredholm integro-differential equations
M Guo, H Zhong
International Journal of Computer Mathematics 93 (10), 1650-1664, 2016
22016
积分法与单位载荷法一致性的数学推证
郭孟武
力学与实践 35 (4), 70-72, 2013
22013
Deep Kernel Learning of Dynamical Models from High-Dimensional Noisy Data
N Botteghi, M Guo, C Brune
Scientific Reports 12, 21530, 2022
12022
Predictive Monitoring of Large-Scale Engineering Assets Using Machine Learning Techniques and Reduced-Order Modeling
C Bigoni, M Guo, JS Hesthaven
Structural Health Monitoring Based on Data Science Techniques, 185-205, 2022
12022
Constitutive-relation-error-based a posteriori error bounds for a class of elliptic variational inequalities
M Guo, H Zhong
Applied Mathematics Letters 71, 14-23, 2017
12017
Legendre-Fenchel duality and a generalized constitutive relation error
M Guo, W Han, H Zhong
arXiv preprint arXiv:1611.05589, 2016
12016
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Articles 1–20