Publikationen von Eva Dierkes

Zeitschriftenartikel (1)

1. E. Dierkes, C. Offen, S. Ober-Blöbaum, K. Flaßkamp.
   Hamiltonian neural networks with automatic symmetry detection.
   Chaos: an Interdisciplinary Journal of Nonlinear Science, 33(6), 2023.

   DOI: 10.1063/5.0142969

Tagungsbeiträge (5)

1. E. Dierkes, L. Kappertz, V. Solovievskyi, A. Hackenberg, C. Büskens.
   Optimized Self-Consumption of Renewable Energies With Forecast-Based Energy Management for Agricultural Farms.
   GAMM 94th Annual Meeting of the International Association of Applied Mathematics and Mechanics, 01.12.2024, Magdeburg, Deutschland.
   

   DOI: 10.1002/pamm.202400068

2. E. Dierkes, F. Jung, C. Büskens.
   Data-based models of drive technology for automation in automotive production.
   GAMM 91st Annual Meeting of the international Association of Applied Mathematics and Mechanics, online, 15.03.2021 - 19.03.2021.
   Proceedings in Applied Mathematics & Mechanics, 20(1), WILEY-VCH, 2021.

   DOI: 10.1002/pamm.202000286

3. E. Dierkes, C. Meerpohl, K. Flaßkamp, C. Büskens.
   Estimation and Mapping of System-Surface Interaction by Combining Nonlinear Optimization and Machine Learning.
   Third IFAC Conference on Modelling, Identification and Control of Nonlinear Systems, 15.09-17.09.2021.
   

   DOI: 10.1016/j.ifacol.2021.10.342

4. E. Dierkes, K. Flaßkamp.
   Learning Hamiltonian Systems considering System Symmetries in Neural Networks.
   The 7th IFAC Workshop on Lagrangian and Hamiltonian Methods for Nonlinear Control, 11.10-13.10.2021, Berlin, Deutschland.
   

   DOI: 10.1016/j.ifacol.2021.11.080

5. E. Dierkes, K. Flaßkamp.
   Learning Mechanical Systems by Hamiltonian Neural Networks.
   GAMM 91st Annual Meeting of the international Association of Applied Mathematics and Mechanics, online, 15.03.2021 - 19.03.2021.
   Proceedings in Applied Mathematics & Mechanics, 21(1), WILEY-VCH, 2021.

   DOI: 10.1002/pamm.202100116