A lattice model approach to the morphology formation from ternary mixtures during the evaporation of one component
Dipartimento di Scienze di Base e Applicate per l’Ingegneria, Sapienza Università di Roma,
2 Dipartimento di Ingegneria e Scienze dell’Informazione e Matematica, Università degli Studi dell’Aquila, 67100 L’Aquila, Italy
3 Department of Engineering and Physics, Karlstad University, Karlstad, Sweden
4 Department of Mathematics and Computer Science, Karlstad University, Karlstad, Sweden
5 Department of Engineering and Chemical Sciences, Karlstad University, Karlstad, Sweden
a e-mail: firstname.lastname@example.org
Received in final form: 12 October 2018
Published online: 30 May 2019
Stimulated by experimental evidence in the field of solution-born thin films, we study the morphology formation in a three state lattice system subjected to the evaporation of one component. The practical problem that we address is the understanding of the parameters that govern morphology formation from a ternary mixture upon evaporation, as is the case in the fabrication of thin films from solution for organic photovoltaics. We use, as a tool, a generalized version of the Potts and Blume-Capel models in 2D, with the Monte Carlo Kawasaki-Metropolis algorithm, to simulate the phase behaviour of a ternary mixture upon evaporation of one of its components. The components with spin 1, −1 and 0 in the Blume-Capel dynamics correspond to the electron-acceptor, electron-donor and solvent molecules, respectively, in a ternary mixture used in the preparation of the active layer films in an organic solar cell. Furthermore, we introduce parameters that account for the relative composition of the mixture, temperature, and interaction between the species in the system. We identify the parameter regions that are prone to facilitate the phase separation. Furthermore, we study qualitatively the types of formed configurations. We show that even a relatively simple model, as the present one, can generate key morphological features, similar to those observed in experiments, which proves the method valuable for the study of complex systems.
© The Author(s) 2019
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