Visual Analysis of Stochastic Trajectory Ensembles in Organic Solar Cell Design

Informatics 2017

Abstract

We present a visualization system for analyzing stochastic particle trajectory ensembles, resulting from Kinetic Monte-Carlo simulations on charge transport in organic solar cells. The system supports the analysis of such trajectories in relation to complex material morphologies. It supports the inspection of individual trajectories or the entire ensemble on different levels of abstraction. Characteristic measures quantify the efficiency of the charge transport. Hence our system led to better understanding of ensemble trajectories by: (i) Capturing individual trajectory behavior and provide an ensemble overview (ii) Enabling exploration through linked interaction between 3D representations and plots of characteristics measures (iii) Discover potential traps in the material morphology (iv) Study preferential paths. The visualization system became a central part in the research process. As such it continuously develops further along with the development of new hypothesis and questions from the application. Findings derived from the first visualizations, as e.g. new efficiency measures became new features of the system. Most of these features arose from discussions combining the data-perspective view from visualization with the physical background knowledge of the underlying processes. While our system has been built for a specific application the concepts translate to data sets for other stochastic particle simulations.

Bibtex

@article{kottravel17ensemblevis,
	title={Visual Analysis of Stochastic Trajectory Ensembles in Organic Solar
Cell Design},
	author={Kottravel, Sathish and Volpi, Riccard and Linares, Mathieu and Ropinski, Timo and Hotz, Ingrid},
	year={2017},
	journal={Informatics},
	volume={4},
	pages={25},
	issue={3},
	doi={10.3390/informatics4030025}
}