Scientific collaborations (in alphabetical order):

 

Alan Aspuru-Guzik, University of Toronto, USA: Quantum computing for chemistry

Jiri Brabec, J. Heyrovsky Institute of Physical Chemistry, ASCR, Czech republic: MOLMPS project, Machine Learning and DMRG

Wibe A. de Jong, Lawrence Berkeley National Laboratory, USA: Multireference computations of Fe-S clusters

Jens Eisert, Freie Universitat Berlin, Germany: Fermionic mode transformations and tensor networks

Pavel Hobza, Institute of Organic Chemistry and Biochemistry, ASCR, Czech republic: DMRG computations of porphyrines

Pavel Jelinek, Institute of Physics, ASCR, Czech republic: DMRG computations of radical polycyclic aromatic hydrocarbons

Karol Kowalski, Pacific Northwest National Laboratory, USA: Massively parallel DMRG and Quantum computing for chemistry

Ors Legeza, Wigner Research Centre for Theoretical Physics, Hungary: DMRG and tensor networks

Dana Nachtigalova, Institute of Organic Chemistry and Biochemistry, ASCR, Czech republic: DMRG computations of porphyrines

Fabian Pavosevic, Flatiron Institute, USA: DMRG beyond Born-Oppenheimer, DMRG-in-DFT

Kasia Pernal, Lodz University of Technology, Polland: Adiabatic connection theory with DMRG

Jiri Pittner, J. Heyrovsky Institute of Physical Chemistry, ASCR, Czech republic: DMRG-based tailored coupled clusters

Demeter Tzeli, University of Athens, Greece: Multireference computations of Fe-S clusters

Sotiris Xanteas, Pacific Northwest National Laboratory, USA: Massively parallel DMRG