Classical Molecular Dynamics Simulation of Dye-Sensitized Solar Cells
ursula Roethlisberger a, Negar Ashari Astani a, Ivano Tavernelli a, Michael Graetzel b, Hauke Harms b
International Conference on Hybrid and Organic Photovoltaics
Proceedings of 6th International Conference on Hybrid and Organic Photovoltaics (HOPV14)
Ecublens, Switzerland, 2014 May 11th - 14th
Organizers: Michael Graetzel and Mohammad Nazeeruddin
Poster, Negar Ashari Astani, 221
Publication date: 1st March 2014

Abstract: We performed classical molecular dynamics simulations of dye-sensitizers adsorbed on anatase TiO2 slab including solvent and electrolyte. An atomistic picture of the coverage dependent packing of the dyes, the effectiveness of the hydrophobic alkyl chains as blocking layer and the solvent/electrolyte accessibility is obtained from molecular dynamics simulations for both porphyrin-based and ruthenium-based dyes (YD2-O-C8 and Z907 ∗∗ respectively). Classical molecular dynamics (MD) simulations were performed for different dye coverages and various packing modes and orientations. The TiO2 surface was described by Bandura Kubichi ∗∗∗ force field, whereas for the YD2-o-C8 and Z907 dyes, force fields were developed following the AMBER protocol ∗∗∗∗. The effect of coverage on the overall packing was then studied at different densities. The Accessibility of the electrolyte to the surface was also investigated to verify the effect of introducing bulky lateral groups to the dye to lower recombination rates. 



∗ A. Yella et al., Porphyrin-sensitized solar cells with cobalt (II/III)-based redox electrolyte exceed 12 percent efficiency. Science 334 (2011), 629. ∗∗ C. Klein et al., Amphiphilic ruthenium sensitizers and their applications in dye-sensitized solar cells Inorganic Chemistry, 43 (2004), 42164226 ∗∗∗ Bandura, A. V., Kubicki, J. D. Derivation of Force Field Parameters for TiO2H2O Systems from ab Initio Calculations J. Phys. Chem. B 2003, 107, 11072 11081 ∗∗∗∗ Wang, Junmei; Wolf, Romain M.; Caldwell, James W.; Kollman, Peter A.; Case, David A. Journal of Computational Chemistry , 25 (2004), 1157-1174
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