Visual Analysis of Stochastic Trajectory Ensembles in Organic Solar Cell Design
Journal Title: Informatics - Year 2017, Vol 4, Issue 3
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 providing an ensemble overview; (ii) Enabling exploration through linked interaction between 3D representations and plots of characteristics measures; (iii) Discovering potential traps in the material morphology; (iv) Studying preferential paths. The visualization system became a central part of 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, 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.
Authors and Affiliations
Sathish Kottravel, Riccardo Volpi, Mathieu Linares, Timo Ropinski and Ingrid Hotz
Keywords
Related Articles
- EP ID EP44092
- DOI https://doi.org/10.3390/informatics4030025
- Views 252
- Downloads 0
Big Data in the Era of Health Information Exchanges: Challenges and Opportunities for Public Health
Public health surveillance of communicable diseases depends on timely, complete, accurate, and useful data that are collected across a number of healthcare and public health systems. Health Information Exchanges (HIEs)...
Motivation and User Engagement in Fitness Tracking: Heuristics for Mobile Healthcare Wearables
Wearable fitness trackers have gained a new level of popularity due to their ambient data gathering and analysis. This has signalled a trend toward self-efficacy and increased motivation among users of these devices. F...
Designing the Learning Experiences in Serious Games: The Overt and the Subtle—The Virtual Clinic Learning Environment
Serious Games are becoming more common in the educational setting and must pass muster with both students and instructors for their learning experience and knowledge building. The Virtual Clinic Learning Environment ha...
digiMe: An Online Portal to Support Connectivity through E-Learning in Medical Education
Connectivity is intrinsic to all aspects of our life today, be it political, economic, technological, scientific, or personal. Higher education is also transcending the previous paradigm of technology enabled content d...
Data Provenance for Agent-Based Models in a Distributed Memory
Agent-Based Models (ABMs) assist with studying emergent collective behavior of individual entities in social, biological, economic, network, and physical systems. Data provenance can support ABM by explaining individual...