-
DNN2: A hyper-parameter reinforcement learning game for self-design of neural network based elasto-plastic constitutive descriptions2021 Computers & Structures article Materials Science Machine Learning in Materials Science Open access
Alexander Fuchs, Yousef Heider, Kun Wang, WaiChing Sun, Michael Kaliske
58citations -
A physics-informed meta-learning framework for the continuous solution of parametric PDEs on arbitrary geometries2026 Computers & Structures article Physics and Astronomy Model Reduction and Neural Networks Open access
Reza Najian Asl, Yusuke Yamazaki, Kianoosh Taghikhani, Mayu Muramatsu, Markus Apel, Shahed Rezaei
4citations -
Incorporation of a viscoelastic-elastoplastic material model for asphalt based on the multiscale microlayer model into an ALE formulation for pavement structures considering dynamic tire loadings
Marcel May, Atul Anantheswar, Ventseslav Yordanov, Elaheh Derakhi, Felix Hartung, Ines Wollny, +2 more
1citations
8 results