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Mengwu Guo
Mengwu Guo
Associate Professor, Centre for Mathematical Sciences, Lund University
Dirección de correo verificada de math.lu.se - Página principal
Título
Citado por
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Año
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
2822018
Data-driven reduced order modeling for time-dependent problems
M Guo, JS Hesthaven
Computer Methods in Applied Mechanics and Engineering 345, 75-99, 2019
2592019
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
1122022
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
1062019
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
642020
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
552023
Energy-Based Error Bound of Physics-Informed Neural Network Solutions in Elasticity
M Guo, E Haghighat
Journal of Engineering Mechanics 148 (8), 04022038, 2022
402022
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
392022
Uncertainty quantification for nonlinear solid mechanics using reduced order models with Gaussian process regression
L Cicci, S Fresca, M Guo, A Manzoni, P Zunino
Computers & Mathematics with Applications 149, 1-23, 2023
202023
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
162019
Multi-fidelity reduced-order surrogate modeling
P Conti, M Guo, A Manzoni, A Frangi, SL Brunton, JN Kutz
Proceedings of the Royal Society A 480 (2283), 20230655, 2024
122024
Deep kernel learning of dynamical models from high-dimensional noisy data
N Botteghi, M Guo, C Brune
Scientific Reports 12, 21530, 2022
112022
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
62022
A brief note on understanding neural networks as Gaussian processes
M Guo
arXiv preprint arXiv:2107.11892, 2021
62021
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
Gaussian process learning of nonlinear dynamics
D Ye, M Guo
Communications in Nonlinear Science and Numerical Simulation 138, 108184, 2024
42024
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
32017
A second-order perturbation method for fuzzy eigenvalue problems
M Guo, H Zhong, K You
Engineering Computations 33 (2), 2016
32016
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
32013
Uncertainty Quantification for Physics-Informed Deep Learning
M Guo, C Brune
Mathematics: Key Enabling Technology for Scientific Machine Learning, 47-51, 2021
22021
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Artículos 1–20