Computer Methods in Applied Mechanics and Engineering
 2023
DOI: 10.1016/j.cma.2023.115972
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Physically informed deep homogenization neural network for unidirectional multiphase/multi-inclusion thermoconductive composites

Jindong Jiang
1
,
Jiajun Wu
2
,
Qiang Chen
3
et al.
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Cited by 10 publications
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References 54 publications
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Higher-order multi-scale deep Ritz method (HOMS-DRM) and its convergence analysis for solving thermal transfer problems of composite materials

Linghu,
Dong,
Nie
et al. 2024
Comput Mech
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Higher-order multi-scale deep Ritz method (HOMS-DRM) and its convergence analysis for solving thermal transfer problems of composite materials

Linghu,
Dong,
Nie
et al. 2024
Comput Mech
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Higher-order multi-scale physics-informed neural network (HOMS-PINN) method and its convergence analysis for solving elastic problems of authentic composite materials

Linghu,
Gao,
Dong
et al. 2024
Journal of Computational and Applied Mathematics
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Deep neural network homogenization of multiphysics behavior for periodic piezoelectric composites

Chen,
Xiao,
Yang
et al. 2024
Composites Part A: Applied Science and Manufacturing
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