Research output per year
Research output per year
Personal profile
Research
Mengwu Guo has broad interests in computational science, engineering, and mathematics, and his recent research activities have been focused on data-driven predictive modeling, model order reduction, uncertainty quantification, and verification & validation in the general context of scientific machine learning.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Subject classification (UKÄ)
- Computational Mathematics
- Applied Mechanics
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Collaborations the last five years
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Research output
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Bayesian learning with Gaussian processes for low-dimensional representations of time-dependent nonlinear systems
McQuarrie, S. A., Chaudhuri, A., Willcox, K. E. & Guo, M., 2025 May, In: Physica D: Nonlinear Phenomena. 475, 26 p., 134572.Research output: Contribution to journal › Article › peer-review
Open Access -
Improving neural network efficiency with multifidelity and dimensionality reduction techniques
Sella, V., O’Leary-Roseberry, T., Du, X., Guo, M., Martins, J. R. R. A., Ghattas, O., Willcox, K. & Chaudhuri, A., 2025 Jan 3, AIAA SciTech 2025 Forum. American Institute of Aeronautics and AstronauticsResearch output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review
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Multi-fidelity reduced-order surrogate modelling
Conti, P., Guo, M., Manzoni, A., Frangi, A., Brunton, S. L. & Kutz, J. N., 2024 Feb 7, In: Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences. 480, 2283, 20230655.Research output: Contribution to journal › Article › peer-review
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Gaussian process learning of nonlinear dynamics
Ye, D. & Guo, M., 2024, In: Communications in Nonlinear Science and Numerical Simulation. 138, 108184.Research output: Contribution to journal › Article › peer-review
Open Access -
Data-driven analysis of parametrized acoustic systems in the frequency domain
Xie, X., Wang, W., Wu, H. & Guo, M., 2023 Dec, In: Applied Mathematical Modelling. 124, p. 791-805 15 p.Research output: Contribution to journal › Article › peer-review