4 Einträge gefunden

1. Identification of the concentration‐dependent viscoelastic constitutive parameters of gelatin by combining computational mechanics and machine learning

   1. Abdolazizi, Kian Philipp
   2. Linka, Kevin
   3. Sprenger, Johanna
   4. Neidhardt, Maximilian
   5. Schlaefer, Alexander
   6. Cyron, Christian J.

   2021 - TUHH Open Research - frei zugänglich
2. Constitutive artificial neural networks : a fast and general approach to predictive data-driven constitutive modeling by deep learning

   1. Linka, Kevin
   2. Hillgärtner, Markus
   3. Abdolazizi, Kian Philipp
   4. Aydin, Roland C.
   5. Itskov, Mikhail
   6. Cyron, Christian J.

   2021 - TUHH Open Research - frei zugänglich
3. Concentration‐specific constitutive modeling of gelatin based on artificial neural networks

   1. Abdolazizi, Kian Philipp
   2. Linka, Kevin
   3. Sprenger, Johanna
   4. Neidhardt, Maximilian
   5. Schlaefer, Alexander
   6. Cyron, Christian J.

   2021 - TUHH Open Research - frei zugänglich
4. Constitutive artificial neural networks: a general anisotropic constitutive modeling framework utilizing machine learning

   1. Hillgärtner, Markus
   2. Linka, Kevin
   3. Abdolazizi, Kian Philipp
   4. Aydin, Roland C.
   5. Itskov, Mikhail
   6. Cyron, Christian J.

   2021 - TUHH Open Research