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20162023
most citedMulti-fidelity regression using artificial neural networks: efficient approximation of parameter-dependent output quantities

130 citations · 327 across the 10 of their papers we have counts for

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7 papers · 1 filter

math.NA2023★ 2 cited

Uncertainty quantification for nonlinear solid mechanics using reduced order models with Gaussian process regression

Ludovica Cicci, Stefania Fresca, Mengwu Guo +2

Uncertainty quantification (UQ) tasks, such as sensitivity analysis and parameter estimation, entail a huge computational complexity when dealing with input-output maps involving t…

math.NA2022★ 91 cited

Multi-fidelity surrogate modeling using long short-term memory networks

Paolo Conti, Mengwu Guo, Andrea Manzoni +1

When evaluating quantities of interest that depend on the solutions to differential equations, we inevitably face the trade-off between accuracy and efficiency. Especially for para…

math.NA2022★ 47 cited

Bayesian operator inference for data-driven reduced-order modeling

Mengwu Guo, Shane A. McQuarrie, Karen E. Willcox

This work proposes a Bayesian inference method for the reduced-order modeling of time-dependent systems. Informed by the structure of the governing equations, the task of learning…

math.NA2021★ 130 cited

Multi-fidelity regression using artificial neural networks: efficient approximation of parameter-dependent output quantities

Mengwu Guo, Andrea Manzoni, Maurice Amendt +2

Highly accurate numerical or physical experiments are often time-consuming or expensive to obtain. When time or budget restrictions prohibit the generation of additional data, the…

math.NA2020★ 34 cited

Energy-based error bound of physics-informed neural network solutions in elasticity

Mengwu Guo, Ehsan Haghighat

An energy-based a posteriori error bound is proposed for the physics-informed neural network solutions of elasticity problems. An admissible displacement-stress solution pair is ob…

math.NA2016★ 1 cited

Legendre-Fenchel duality and a generalized constitutive relation error

Mengwu Guo, Weimin Han, Hongzhi Zhong

A generalized constitutive relation error is proposed in an analogous form to Fenchel-Young inequality on the basis of the key idea of Legendre-Fenchel duality theory. The generali…

math.NA2016★ 3 cited

Strict upper and lower bounds for quantities of interest in static response sensitivity analysis

Mengwu Guo, Hongzhi Zhong

In this paper, a goal-oriented error estimation technique for static response sensitivity analysis is proposed based on the constitutive relation error (CRE) estimation for finite…