Mengwu Guo
Universiteit Twente
H-index: 9
Europe-Netherlands
Top articles of Mengwu Guo
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Multi-fidelity reduced-order surrogate modeling | Proceedings of the Royal Society A | Paolo Conti Mengwu Guo Andrea Manzoni Attilio Frangi Steven L Brunton | 2024/2 |
Bayesian approach to Gaussian process regression with uncertain inputs | arXiv preprint arXiv:2305.11586 | Dongwei Ye Mengwu Guo | 2023/5 |
Multi-fidelity surrogate modeling using long short-term memory networks | Computer methods in applied mechanics and engineering | Paolo Conti Mengwu Guo Andrea Manzoni Jan S Hesthaven | 2023/2/1 |
Gaussian process learning of nonlinear dynamics | arXiv preprint arXiv:2312.12193 | Dongwei Ye Mengwu Guo | 2023/12/19 |
Data-driven analysis of parametrized acoustic systems in the frequency domain | Applied Mathematical Modelling | Xiang Xie Wei Wang Haijun Hu Mengwu Guo | 2023/12 |
Uncertainty quantification for nonlinear solid mechanics using reduced order models with Gaussian process regression | Computers & Mathematics with Applications | Ludovica Cicci Stefania Fresca Mengwu Guo Andrea Manzoni Paolo Zunino | 2023/11/1 |
Multi-fidelity regression using artificial neural networks: Efficient approximation of parameter-dependent output quantities | Computer methods in applied mechanics and engineering | Mengwu Guo Andrea Manzoni Maurice Amendt Paolo Conti Jan S Hesthaven | 2022/2/1 |
Predictive monitoring of large-scale engineering assets using machine learning techniques and reduced-order modeling | Structural Health Monitoring Based on Data Science Techniques | Caterina Bigoni Mengwu Guo Jan S Hesthaven | 2022 |
Deep kernel learning of dynamical models from high-dimensional noisy data | Scientific reports | Nicolò Botteghi Mengwu Guo Christoph Brune | 2022/12/13 |
Bayesian operator inference for data-driven reduced-order modeling | Computer Methods in Applied Mechanics and Engineering | Mengwu Guo Shane A McQuarrie Karen E Willcox | 2022/12 |
Energy-Based Error Bound of Physics-Informed Neural Network Solutions in Elasticity | Journal of Engineering Mechanics | Mengwu Guo Ehsan Haghighat | 2022/8/1 |
Uncertainty Quantification for Physics-Informed Deep Learning | Mathematics: Key Enabling Technology for Scientific Machine Learning | Mengwu Guo Christoph Brune | 2021/11 |
A brief note on understanding neural networks as Gaussian processes | arXiv preprint arXiv:2107.11892 | Mengwu Guo | 2021/7/25 |
A non-intrusive multifidelity method for the reduced order modeling of nonlinear problems | Computer Methods in Applied Mechanics and Engineering | Mariella Kast Mengwu Guo Jan S Hesthaven | 2020/6/1 |
Co-Authors
