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Author

Hau T. Mai

ORCID: 0000-0002-1626-1681
Observed ORCID: 0000-0002-1626-1681
OpenAlex ID: A5086962227
A machine learning-based surrogate model for optimization of truss structures with geometrically nonlinear behavior
2021 · Hau T. Mai, Joowon Kang, et al. · Finite Elements in Analysis and Design · 126
A novel deep unsupervised learning-based framework for optimization of truss structures
2022 · Hau T. Mai, Qui X. Lieu, et al. · Engineering With Computers · 64
A damage-informed neural network framework for structural damage identification
2023 · Hau T. Mai, Seunghye Lee, et al. · Computers & Structures · 40
Physics-informed neural energy-force network: a unified solver-free numerical simulation for structural optimization
2023 · Hau T. Mai, Dai D. Mai, et al. · Engineering With Computers · 40
A robust unsupervised neural network framework for geometrically nonlinear analysis of inelastic truss structures
2022 · Hau T. Mai, Qui X. Lieu, et al. · Applied Mathematical Modelling · 39
Optimum design of nonlinear structures via deep neural network-based parameterization framework
2022 · Hau T. Mai, Seunghye Lee, et al. · European Journal of Mechanics - A/Solids · 30
A robust physics-informed neural network approach for predicting structural instability
2022 · Hau T. Mai, Tam T. Truong, et al. · Finite Elements in Analysis and Design · 28
Physics-informed neural network for nonlinear analysis of cable net structures
2024 · Dai D. Mai, Tri Diep Bao, et al. · Advances in Engineering Software · 23
A force neural network framework for structural optimization
2025 · Dai D. Mai, Si T. Do, et al. · Engineering Applications of Artificial Intelligence · 12
An Improved Blind Kriging Surrogate Model for Design Optimization Problems
2022 · Hau T. Mai, Jaewook Lee, et al. · Mathematics · 9
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A mesh-based neural energy solver for linear and nonlinear plane elasticity problems
2026 · Si T. Do, Hau T. Mai, et al. · Engineering With Computers
Works count: 11
Citation count: 411
H-index: 9
I10-index: 9
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