Publications

Journals

Heringhaus, Monika E., Yi Zhang, André Zimmermann, and Lars Mikelsons. 2022. “Towards Reliable Parameter Extraction in MEMS Final Module Testing Using Bayesian Inference” Sensors 22, no. 14: 5408. https://doi.org/10.3390/s22145408
- Blog post: MEMS Swim in BayesFlow

Yi Zhang, Lars Mikelsons. “Sensitivity-Guided Iterative Parameter Identification and Data Generation with BayesFlow and PELS-VAE for Model Calibration”, 17 August 2022, PREPRINT (Version 1) available at Research Square https://doi.org/10.21203/rs.3.rs-1898389/v1
- Blog post: Calibrate Complex System Models with Deep Learning

Schatz, H.; Varchmin, A.: “Einsatz neuronaler Netze in der Betriebsstrategie und Regelung von CO2-Kältekreisläufen”, 10. VDI-Fachkonferenz Thermomanagement für elektromotorisch angetriebene PKW, Nürnberg, Germany, 9-10 March 2022
- The presentation is not available online. On request the presentation can be published.
Hübel, Moritz, Nirmala Nirmala, Michael Deligant, and Lixiang Li. “Hybrid physical-AI based system modeling and simulation approach demonstrated on an automotive fuel cell.”, In Modelica Conferences, pp. 157-163. 2022. https://doi.org/10.3384/ecp193157
- Blog post: How to train neural network based on detailed model

Andreas Heuermann, Philip Hannebohm, Bernhard Bachmann. “Replacing Strong Components with ANN”. Januaryi 31. 2022, OpenModelica Annual Workshop 2022, presentation https://openmodelica.org/images/M_images/OpenModelicaWorkshop_2022/1355_Replacing_Strong_Components_with_ANN.pdf
- Blog post: Presented workflow to replace algebraic loops
Karim Abdelhak, Philip Hannebohm, Bernhard Bachmann. “Status of the New Backend”. February 6. 2023, OpenModelica Annual Workshop 2023, presentation https://openmodelica.org/images/M_images/OpenModelicaWorkshop_2023/status_of_new_backend.pdf
- Blog Post: E-Graphs for symbolic simplification