IVLR Publications
- Kang, Y., & Hampp, F. (2023). Quantification of Spray Experiments via Machine Learning. In Statusseminar SimTech.
- Kang, Y., & Hampp, F. (2023, September). Experimental Characterisation of Pressure Swirl and Airblast Sprays in Multiscale Turbulence. 32nd ILASS Europe Conference.
- Jose, B., & Hampp, F. (2023). DNN model development for experimental characterisation of multi-phase flows. In Statusseminar SimTech.
- Jose, B., & Hampp, F. (2023, September). Machine learning based spray process quantification. 32nd ILASS Europe Conference.
- Jose, B., & Hampp, F. (2023, Oktober). Training computer vision models without labelled data using physics informed domain randomisation. Int. Conf. on Data-Integrated Simulation Science.
- Hampp, F., Schäfer, D., & Lammel, O. (2023, September). Liquid fuel combustion for compact GT combustors. 31st Deutscher Flammentag.
- Jose, B., Geigle, K. P., & Hampp, F. (2022). Supervised learning without labelling: Applied domain randomization on scientific images. In 8th WAW Workshop Machine Learning.
- Hampp, F. (2022). Experimental data-driven flow simulations. In Statusseminar SimTech.
- Hampp, F. (2022). Machine Learning-based Data Analysis for Optical Diagnostics. In LACSEA.