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Yi Gao
Yi Gao
Unknown affiliation
Verified email at asu.edu
Title
Cited by
Cited by
Year
An active learning kriging model for hybrid reliability analysis with both random and interval variables
X Yang, Y Liu, Y Gao, Y Zhang, Z Gao
Structural and Multidisciplinary Optimization 51, 1003-1016, 2015
1892015
FEA-Net: A physics-guided data-driven model for efficient mechanical response prediction
H Yao, Y Gao, Y Liu
Computer Methods in Applied Mechanics and Engineering 363, 112892, 2020
702020
Unified reliability analysis by active learning Kriging model combining with random‐set based Monte Carlo simulation method
X Yang, Y Liu, Y Gao
International Journal for Numerical Methods in Engineering 108 (11), 1343-1361, 2016
512016
Ultra-efficient reconstruction of 3D microstructure and distribution of properties of random heterogeneous materials containing multiple phases
Y Gao, Y Jiao, Y Liu
Acta Materialia 204, 116526, 2021
292021
Multi-fidelity data aggregation using convolutional neural networks
J Chen, Y Gao, Y Liu
Computer methods in applied mechanics and engineering 391, 114490, 2022
182022
Reliability-based topology optimization with stochastic heterogeneous microstructure properties
Y Gao, Y Liu
Materials & Design 205, 109713, 2021
132021
Bayesian-entropy gaussian process for constrained metamodeling
Y Wang, Y Gao, Y Liu, S Ghosh, W Subber, P Pandita, L Wang
Reliability Engineering & System Safety 214, 107762, 2021
92021
Efficient high-dimensional material reliability analysis with explicit voxel-level stochastic microstructure representation
Y Gao, Y Jiao, Y Liu
Applied Mathematical Modelling 91, 1117-1140, 2021
82021
Physics-based deep learning for probabilistic fracture analysis of composite materials
Y Gao, H Yao, H Wei, Y Liu
AIAA Scitech 2020 Forum, 1860, 2020
82020
Multi-fidelity neural optimization machine for Digital Twins
J Chen, C Meng, Y Gao, Y Liu
Structural and Multidisciplinary Optimization 65 (12), 340, 2022
62022
Adjoint-FORM for efficient reliability analysis of large-scale structural problems
Y Gao, Y Liu
2018 AIAA Non-Deterministic Approaches Conference, 0435, 2018
62018
Ultraefficient reconstruction of effectively hyperuniform disordered biphase materials via non-Gaussian random fields
Y Gao, Y Jiao, Y Liu
Physical Review E 105 (4), 045305, 2022
42022
Adjoint gradient-enhanced kriging model for time-dependent reliability analysis
Y Gao, Y Liu
AIAA Scitech 2019 Forum, 0441, 2019
32019
Convolutional neural networks for multi-fidelity data aggregation
J Chen, Y Gao, Y Liu
AIAA SCITECH 2022 Forum, 2144, 2022
12022
Active learning-based efficient separation risk assessment in national airspace system
Y Gao, Y Liu, P Dutta, O Chen, H Iyer, BJ Yang
AIAA Aviation 2019 Forum, 2942, 2019
12019
Ultra-efficient and Scalable Uncertainty Quantification and Probabilistic Analysis for Heterogeneous Materials
Y Gao
Arizona State University, 2021
2021
A constrained semi-parametric gaussian process using bayesian-entropy regression
Y Wang, Y Gao, Y Liu, S Ghosh, L Wang
AIAA Scitech 2021 Forum, 0180, 2021
2021
Probabilistic Failure Analysis for ICME Using An Adjoint-based Lattice Particle Method.
Y Gao, Y Liu
AIAA Scitech 2019 Forum, 0970, 2019
2019
Multi-Fidelity Data Aggregation for Information Fusion in Simulation and Experiment
J Chen, C Meng, Y Gao, Y Liu
AIAA SCITECH 2023 Forum, 0
Adjoint Gradient-enhanced Kriging Model-based Method for Time-dependent Reliability Analysis
Y Gao, Y Liu
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