Physics-informed Machine Learning for Green Applications

Aktivität: Vortrag ohne Tagungsband / VorlesungPräsentation auf einer wissenschaftlichen Konferenz / Workshop


Modern deep learning methods require a lot of computational resources for training. The topic of energy efficiency will therefore be of crucial importance for the development of new algorithms in the future. One way to develop more energy-efficient methods is to intrinsically consider physical laws and constraints and thus, for example, significantly limit the data space for training. In my talk, I will give an overview of Physics-informed Machine Learning and show possible application areas within our current projects in the environmental domain.
Zeitraum12 Okt. 2023
EreignistitelEnviroInfo 2023
OrtGarching, Deutschland, BayernAuf Karte anzeigen

Research Field

  • Ehemaliges Research Field - Data Science


  • Physics-informed Machine Learning
  • Green Transformation
  • Green Data Science