Projects

The projects of the Science Campus are assigned to different focus areas.

Scientific structure of the ScienceCampus including the Scientific Focus Areas (SFAs) and Methodical Focus Areas (MFAs). Participating researchers of each focus area and their affiliations (from those institutes participating in the campus) are explicitly given. In addition (second part), we show the crosslinks between the individual focus areas.
Glowing gas clouds and dust in dark space

SFA I: Galaxy formation

  • Towards a multi-fluid model for condensation and its application to cosmological galaxy formation and cloud formation in the Earth atmosphere (Christoph Pfrommer (AIP) [PI, Contact person], Rainer Weinberger (AIP) [PI])
  • Deciphering the spectral signatures of the multi-scale CGM around galaxies using state-of-the art simulations (Philipp Richter (UP) [PI, Contact person], Ewald Puchwein (AIP) [PI], Matthias Steinmetz (AIP) [PI])
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Image

SFA II: Neutron star mergers

  • Subgrid-scale modelling of magnetized neutron star mergers and possible implications for multimessenger astronomy (Tim Dietrich (UP) [PI, Contact person], Kenta Kiuchi (AEI) [PI], Samaya Nissanke (DESY) [PI])
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Red-brown planet with blue atmosphere, its host star in the background

SFA III: Planet formation and atmospheres

  • Towards a turbulent closure model for emergent zonal flows and their potential for structuring protoplanetary disks and effecting the Earth’s climate (Oliver Gressel (AIP) [PI, Contact person], Christoph Pfrommer (AIP) [PI])
  • Characterisation of Exoplanet Atmospheres with Physics-Informed Neural Networks (Jean-Michel Désert (AIP) [PI, Contact person])
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World map showing temperature anomalies with mostly red and yellow areas

SFA IV: Climate modelling

  • Modeling the interactions between convective cells and the emergent large-scale implications (Jan O. Härter (UP) [PI, Contact person])
  • Small-scale variability during unfolding of large-scale instabilities and their multi-scale impacts (Anders Levermann (PIK) [PI, Contact person])
  • Stochastic subgrid-scale parameterizations of atmospheric GCM with Generative Machine Learning (Niklas Boers (PIK) [PI, Contact person])
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Earth

SFA V: Earth-System modelling

  • Discovering Scale-appropriate Functional Relationships and Process Controls in Complex Earth System Data (Thorsten Wagener (UP) [PI, Contact person], Torsten Enßlin (DZA) [PI], Katja Frieler (PIK) [PI])
  • Recurrence-based multiscale-analysis (Norbert Marwan (PIK) [PI, Contact person])
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Network with landscape in the background

MFA I: Physics-informed neural networks

  • A hybrid PINN-based multi scale approach with applications in galaxy formation (Michael Hintermüller (WIAS) [PI, Contact person], Christoph Pfrommer (AIP) [PI])
  • Learning non-parametric Earth system models across scales using phase-transition dynamics of regularised deep neural networks (Karoline Wiesner (UP) [PI, Contact person])
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MFA II image

MFA II: Modelling, numerics, and inference

  • Structure-Preserving Discretization and Consistent Coarse-Graining for Compressible and Two-Fluid Flow Problems (Matthias Liero (WIAS) [PI, Contact person], Volker John (WIAS) [PI])
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