Research output per year
Research output per year
Personal profile
Personal profile
Dr. Mengwu Guo's research interests span several areas of computational sciences and engineering including model order reduction, data-driven modeling, uncertainty quantification, and scientific machine learning. With an interdisciplinary background between engineering sciences and computational mathematics, Mengwu has been dedicated to the development of high-performance numerical methods towards real-world engineering applications.
Education/Academic qualification
PhD
Award Date: 28 Jun 2017
Bachelor
Award Date: 1 Jul 2013
Artificial Intelligence Expert
- Machine Learning: from Traditional Methods to Deep Neural Networks
- Smart and Service Industry
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Dive into the research topics where Mengwu Guo is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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A non-intrusive multifidelity method for the reduced order modeling of nonlinear problems
Kast, M., Guo, M. & Hesthaven, J. S., Jun 2020, In: Computer methods in applied mechanics and engineering. 364, 112947.Research output: Contribution to journal › Article › Academic › peer-review
22 Citations (Scopus) -
Reduced order modeling for nonlinear structural analysis using Gaussian process regression
Guo, M. & Hesthaven, J. S., Nov 2018, In: Computer methods in applied mechanics and engineering. 341, p. 807-826Research output: Contribution to journal › Article › Academic › peer-review
119 Citations (Scopus) -
Data-driven reduced order modeling for time-dependent problems
Guo, M. & Hesthaven, J. S., Mar 2019, In: Computer methods in applied mechanics and engineering. 345, p. 75-99Research output: Contribution to journal › Article › Academic › peer-review
112 Citations (Scopus) -
Model order reduction for large-scale structures with local nonlinearities
Zhang, Z., Guo, M. & Hesthaven, J. S., Aug 2019, In: Computer methods in applied mechanics and engineering. 353, p. 491-515Research output: Contribution to journal › Article › Academic › peer-review
8 Citations (Scopus) -
Multi-fidelity surrogate modeling using long short-term memory networks
Conti, P., Guo, M., Manzoni, A. & Hesthaven, J. S., 1 Feb 2023, In: Computer methods in applied mechanics and engineering. 404, 22 p., 115811.Research output: Contribution to journal › Article › Academic › peer-review
File3 Citations (Scopus)23 Downloads (Pure)
Activities
- 2 Invited talk
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Bayesian methods of non-intrusive model order reduction
Mengwu Guo (Speaker)
12 May 2021Activity: Talk or presentation › Invited talk
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Bayesian methods for data-driven reduced order modeling in simulation science
Mengwu Guo (Invited speaker)
Jun 2021Activity: Talk or presentation › Invited talk