Mengwu Guo 个人学术档案 - 学术资源搜索

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Jan S HesthavenProfessor of Mathematics and Provost, Ecole Polytechnique Federale de Lausanne (EPFL)在 epfl.ch 的电子邮件经过验证
Andrea ManzoniPolitecnico di Milano在 polimi.it 的电子邮件经过验证
Paolo ContiPhD student, Politecnico di Milano在 polimi.it 的电子邮件经过验证
Hongzhi ZhongDepartment of Civil Engineering, Tsinghua University在 tsinghua.edu.cn 的电子邮件经过验证
Shane A McQuarrieJohn von Neumann Postdoctoral Fellow, Sandia National Laboratories在 sandia.gov 的电子邮件经过验证
Mariella KastPhD Student, EPFL在 epfl.ch 的电子邮件经过验证
Jian YuBeihang University在 buaa.edu.cn 的电子邮件经过验证
Maurice AmendtResearch scientist, Amazon在 amazon.lu 的电子邮件经过验证
Ehsan HaghighatHead of Simulations & AI at Eden -- Research Affiliate at MIT在 mit.edu 的电子邮件经过验证
Karen WillcoxOden Institute for Computational Engineering and Sciences, UT Austin在 oden.utexas.edu 的电子邮件经过验证
Christoph BruneApplied Mathematics, University of Twente在 utwente.nl 的电子邮件经过验证
Paolo ZuninoMOX, Department of Mathematics, Politecnico di Milano在 polimi.it 的电子邮件经过验证
Nicolò BotteghiPostdoctoral Researcher, Mathematics of Imaging and AI group, University of Twente在 utwente.nl 的电子邮件经过验证
Ludovica CicciImperial College London在 imperial.ac.uk 的电子邮件经过验证
Stefania FrescaMOX - Dipartimento di Matematica, Politecnico di Milano在 polimi.it 的电子邮件经过验证
Caterina BigoniEcole Polytechnique Fédérale de Lausanne (EPFL)在 epfl.ch 的电子邮件经过验证
Attilio FrangiProfessor of Solid and Structural Mechanics, Politecnico di Milano在 polimi.it 的电子邮件经过验证
Steven L. BruntonProfessor, University of Washington在 uw.edu 的电子邮件经过验证
J. Nathan KutzProfessor of Applied Mathematics & Electrical and Computer Engineering在 uw.edu 的电子邮件经过验证
Dongwei YeUniversity of Twente在 utwente.nl 的电子邮件经过验证

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Mengwu Guo

Centre for Mathematical Sciences, Lund University

在 math.lu.se 的电子邮件经过验证 - 首页

computational science and engineering uncertainty quantification scientific machine learning


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
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	252	2018
Data-driven reduced order modeling for time-dependent problems M Guo, JS Hesthaven Computer Methods in Applied Mechanics and Engineering 345, 75-99, 2019	233	2019
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	94	2019
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	87	2022
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	58	2020
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	42	2023
Energy-Based Error Bound of Physics-Informed Neural Network Solutions in Elasticity M Guo, E Haghighat Journal of Engineering Mechanics 148 (8), 04022038, 2022	36	2022
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	35	2022
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	16	2019
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	11	2023
Deep kernel learning of dynamical models from high-dimensional noisy data N Botteghi, M Guo, C Brune Scientific Reports 12, 21530, 2022	10	2022
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	6	2022
A brief note on understanding neural networks as Gaussian processes M Guo arXiv preprint arXiv:2107.11892, 2021	6	2021
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	5	2024
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	5	2015
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	3	2017
A second-order perturbation method for fuzzy eigenvalue problems M Guo, H Zhong, K You Engineering Computations 33 (2), 2016	3	2016
Uncertainty Quantification for Physics-Informed Deep Learning M Guo, C Brune Mathematics: Key Enabling Technology for Scientific Machine Learning, 47-51, 2021	2	2021
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	2	2016
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	2	2013

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