| 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 | 123 | 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 | 116 | 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 | 32 | 2019 |
| 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 | 22 | 2020 |
| Energy-Based Error Bound of Physics-Informed Neural Network Solutions in Elasticity M Guo, E Haghighat Journal of Engineering Mechanics 148 (8), 04022038, 2022 | 10 | 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 | 10 | 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 | 6 | 2022 |
| 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 | 5 | 2013 |
| A second-order perturbation method for fuzzy eigenvalue problems M Guo, H Zhong, K You Engineering Computations, 2016 | 3 | 2016 |
| A brief note on understanding neural networks as Gaussian processes M Guo arXiv preprint arXiv:2107.11892, 2021 | 2 | 2021 |
| 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 | 2 | 2017 |
| 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 |
| 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 | 2 | 2015 |
| 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 | 1 | 2017 |
| Legendre-Fenchel duality and a generalized constitutive relation error M Guo, W Han, H Zhong arXiv preprint arXiv:1611.05589, 2016 | 1 | 2016 |
| Identification of imperfections in thin plates based on the modified potential energy principle M Guo, H Zhong Mechanics Research Communications 72, 16-23, 2016 | 1 | 2016 |
| Strict upper and lower bounds of quantities for beams on elastic foundation by dual analysis L Wang, M Guo, H Zhong Engineering Computations, 2015 | 1 | 2015 |
| Bayesian operator inference for data-driven reduced-order modeling M Guo, SA McQuarrie, KE Willcox arXiv preprint arXiv:2204.10829, 2022 | | 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 | | 2022 |
| Uncertainty Quantification for Physics-Informed Deep Learning M Guo, C Brune Mathematics: Key Enabling Technology for Scientific Machine Learning, 47-51, 2021 | | 2021 |
Jan S HesthavenProfessor of Mathematics and Provost, Ecole Polytechnique Federale de Lausanne (EPFL)Verified email at epfl.ch
