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FE-LSTM: a hybrid approach to accelerate multiscale simulations of architectured materials using recurrent neural networks and finite element analysis - MaRDI portal

FE-LSTM: a hybrid approach to accelerate multiscale simulations of architectured materials using recurrent neural networks and finite element analysis (Q6588352)

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scientific article; zbMATH DE number 7897596
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English
FE-LSTM: a hybrid approach to accelerate multiscale simulations of architectured materials using recurrent neural networks and finite element analysis
scientific article; zbMATH DE number 7897596

    Statements

    FE-LSTM: a hybrid approach to accelerate multiscale simulations of architectured materials using recurrent neural networks and finite element analysis (English)
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    15 August 2024
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    recurrent neural network (RNN)
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    architectured materials
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    multi-scale modeling
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    homogenization
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    artificial intelligence
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    finite element analysis
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