dc.description.wosFundingText | The computational resources and services used in this work were partially provided by the Centre de Ressources Informatiques (CRI) and by the VSC (Flemisch Supercomputer Center) , funded by the Research Foundation Flanders (FWO) and the Flemisch Government - department EWI and by the supercomputing facilities based in Debrecen, Hungary provided by NIIF of KIFUE. This work was performed with financial support from the Centre National de la Recherche Scientifique (CNRS) , the Ministere de l'Enseignement Superieur et de la Recherche in France and the National Agency for Research (ANR project HICARE 17-CE07-028-01) .J.O. acknowledge financial support of the "Vissza a Tudomanyba" grant of Budapest University of Technology and Economics, of the KU Leuven - Budapest University of Technology and Economics joint research funding (CELSA/19/017) and of project no. 2018-1.2.1-NKP-2018-00005 of the National Research, Development and Innovation Fund of Hungary. B.I. thanks the support of grant 142429 of the National Research, Development and Innovation Office of Hungary. A.M.R. thanks the support of a Stipendium Hungaricum Fellowship, the Tempus dissertation scholarship of the Tempus Public Foundation, and of the Egyptian Government. MJO thanks the Hungarian-American Fulbright Commission for a Fulbright Research Grant in support of her stay in Hungary and the U.S. National Science Foundation grant #CHE-1905214. | |