% This file was created by ZeTeM Website
 
% Eva Dierkes







@ARTICLE{Dierkes2023_bfe2f,
  author = {Eva Dierkes and Christian Offen and Sina Ober-Blöbaum and Kathrin Flaßkamp},
  title = {Hamiltonian neural networks with automatic symmetry detection},
  journal = {Chaos: an Interdisciplinary Journal of Nonlinear Science},
  volume = {33},
  number = {6},
  year = {2023},
  doi = {10.1063/5.0142969}
}





@CONFERENCE{Dierkes2021_9525d,
  author = {Eva Dierkes and Francesca Jung and Christof Büskens},
  title = {Data-based models of drive technology for automation in automotive production},
  booktitle = {GAMM 91st Annual Meeting of the international Association of Applied Mathematics and Mechanics, online, 15.03.2021 - 19.03.2021},
  volume = {20},
  number = {1},
  year = {2021},
  doi = {10.1002/pamm.202000286}
}


@CONFERENCE{Dierkes2021_a6778,
  author = {Eva Dierkes and Christian Meerpohl and Kathrin Flaßkamp and Christof Büskens},
  title = {Estimation and Mapping of System-Surface Interaction by Combining Nonlinear Optimization and Machine Learning},
  booktitle = {Third IFAC Conference on Modelling, Identification and Control of Nonlinear Systems, 15.09-17.09.2021},
  volume = {54},
  number = {14},
  pages = {138-142},
  year = {2021},
  doi = {10.1016/j.ifacol.2021.10.342}
}


@CONFERENCE{Dierkes2021_e56d2,
  author = {Eva Dierkes and Kathrin Flaßkamp},
  title = {Learning Hamiltonian Systems considering System Symmetries in Neural Networks},
  booktitle = {The 7th IFAC Workshop on Lagrangian and Hamiltonian Methods for Nonlinear Control, 11.10-13.10.2021, Berlin, Deutschland},
  volume = {54},
  number = {19},
  pages = {210-216},
  year = {2021},
  doi = {10.1016/j.ifacol.2021.11.080}
}


@CONFERENCE{Dierkes2021_71c79,
  author = {Eva Dierkes and Kathrin Flaßkamp},
  title = {Learning Mechanical Systems by Hamiltonian Neural Networks},
  booktitle = {GAMM 91st Annual Meeting of the international Association of Applied Mathematics and Mechanics, online, 15.03.2021 - 19.03.2021},
  volume = {21},
  number = {1},
  year = {2021},
  doi = {10.1002/pamm.202100116 }
}