Credits

strongcoca has been developed at the Department of Physics of Chalmers University of Technology in Gothenburg, Sweden and the Department of Chemistry at the University of Jyväskylä with funding from the Research Council of Finland, the Swedish Research Council and the Knut och Alice Wallenbergs Foundation, as well as computational support from the National Academic Infrastructure for Supercomputing in Sweden.

strongcoca is based on code developed as part of the following publication. If you use strongcoca in your research please cite the following paper:

• Dipolar Coupling of Nanoparticle–Molecule Assemblies: An Efficient Approach for Studying Strong Coupling
  Jakub Fojt, Tuomas P. Rossi, Tomasz J. Antosiewicz, Mikael Kuisma, and Paul Erhart
  The Journal of Chemical Physics 154, 094109 (2021)
  doi: 10.1063/5.0037853
  

strongcoca is based on Python3 and invokes functionality from the Python libraries listed below. To support the development of free-and-open-source-software, please make sure to give proper credit to these packages when citing strongcoca as well.

• ase

• NumPy

• SciPy