Mengwu Guo

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2022
Mark Multi-fidelity regression using artificial neural networks : Efficient approximation of parameter-dependent output quantities
Guo, Mengwu ^LU ; Manzoni, Andrea ; Amendt, Maurice ; Conti, Paolo and Hesthaven, Jan S. (2022) In Computer Methods in Applied Mechanics and Engineering 389.
- Contribution to journal › Article
Mark Bayesian operator inference for data-driven reduced-order modeling
Guo, Mengwu ^LU ; McQuarrie, Shane A. and Willcox, Karen E. (2022) In Computer Methods in Applied Mechanics and Engineering 402.
- Contribution to journal › Article
2021
Mark A brief note on understanding neural networks as Gaussian processes
Guo, Mengwu ^LU (2021)
- Working paper/Preprint › Preprint in preprint archive
Mark Uncertainty quantification for physics-informed deep learning
Guo, Mengwu ^LU and Brune, Christoph (2021) p.47-51
- Chapter in Book/Report/Conference proceeding › Chapter in report
2020
Mark A non-intrusive multifidelity method for the reduced order modeling of nonlinear problems
Kast, Mariella ; Guo, Mengwu ^LU and Hesthaven, Jan S. (2020) In Computer Methods in Applied Mechanics and Engineering 364.
- Contribution to journal › Article
2019
Mark Non-intrusive reduced-order modeling for fluid problems : A brief review
Yu, Jian ; Yan, Chao and Guo, Mengwu ^LU (2019) In Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering 233(16). p.5896-5912
- Contribution to journal › Scientific review
Mark Data-driven reduced order modeling for time-dependent problems
Guo, Mengwu ^LU and Hesthaven, Jan S. (2019) In Computer Methods in Applied Mechanics and Engineering 345. p.75-99
- Contribution to journal › Article
Mark Model order reduction for large-scale structures with local nonlinearities
Zhang, Zhenying ; Guo, Mengwu ^LU and Hesthaven, Jan S. (2019) In Computer Methods in Applied Mechanics and Engineering 353. p.491-515
- Contribution to journal › Article
2018
Mark Reduced order modeling for nonlinear structural analysis using Gaussian process regression
Guo, Mengwu ^LU and Hesthaven, Jan S. (2018) In Computer Methods in Applied Mechanics and Engineering 341. p.807-826
- Contribution to journal › Article
2017
Mark Constitutive-relation-error-based a posteriori error bounds for a class of elliptic variational inequalities
Guo, Mengwu ^LU and Zhong, Hongzhi (2017) In Applied Mathematics Letters 71. p.14-23
- Contribution to journal › Article