Microstructure-based prediction of hydrodynamic forces in stationary particle assemblies

#Data linked to the manuscript: 
Microstructure-based prediction of hydrodynamic forces in stationary particle assemblies

#Corresponding author:
[e-mail]

#Acknowleddgements

This work was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) - Project-ID 422037413 - TRR 287. This funding is gratefully acknowledged.

#Files
- Minkowski tensors and Lagrangian forces computed for all simulations stored in the .csv files
- Python script to read Minkowski tensors and Lagrangian forces stored in the .csv files
- One flow configuration results with hdf fields files at mean flow Reynolds number 100 and solid volume fraction 0.5.

#SimulationResult

Note to open the simulation results:

The Eulerian fields and Lagrangian particles information are stored in HDF5 files.
The relevant fileds are:
  #Eulerian:
  - Velocity vector
  - Pressure
  - AMR Level
  - Other information relevant for the coupling between the IBM particles and
    the fluid

  #Lagrangian:
  - Particles coordinates
  - Particles diameter
  - Particles hydrodynamic force components
  - Particles torque components
  - Particles velocity components
  - Particles rotational velocity components

A .xmf file is provided to read the simulation results in paraview.
Only the initial state and the converged state of the simulation are provided due to storage limits.