Constitutive artificial neural networks: A fast and general approach to predictive data-driven constitutive modeling by deep learning von Linka, Kevin, Hillgärtner, Markus, Abdolazizi, Kian P., Aydin, Roland C., Itskov, Mikhail, Cyron, Christian J.

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Concentration‐Specific Constitutive Modeling of Gelatin Based on Artificial Neural Networks von Abdolazizi, Kian P., Linka, Kevin, Sprenger, Johanna, Neidhardt, Maximilian, Schlaefer, Alexander, Cyron, Christian J.

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Viscoelastic constitutive artificial neural networks (vCANNs) – A framework for data-driven anisotropic nonlinear finite viscoelasticity von Abdolazizi, Kian P., Linka, Kevin, Cyron, Christian J.

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Constitutive artificial neural networks: a general anisotropic constitutive modeling framework utilizing machine learning von Hillgärtner, Markus, Linka, Kevin, Abdolazizi, Kian P., Aydin, Roland C., Itskov, Mikhail, Cyron, Christian J.

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Identification of the concentration‐dependent viscoelastic constitutive parameters of gelatin by combining computational mechanics and machine learning von Abdolazizi, Kian P., Linka, Kevin, Sprenger, Johanna, Neidhardt, Maximilian, Schlaefer, Alexander, Cyron, Christian J.

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Towards deep learned constitutive models based on two‐dimensional strain fields von Hillgärtner, Markus, Linka, Kevin, Abdolazizi, Kian P., Itskov, Mikhail

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Viscoelastic Constitutive Artificial Neural Networks (vCANNs) $-$ a framework for data-driven anisotropic nonlinear finite viscoelasticity von Abdolazizi, Kian P, Linka, Kevin, Cyron, Christian J

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Viscoelastic Constitutive Artificial Neural Networks (vCANNs) \(-\) a framework for data-driven anisotropic nonlinear finite viscoelasticity von Abdolazizi, Kian P, Linka, Kevin, Cyron, Christian J

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