{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T04:14:48Z","timestamp":1760242488689,"version":"build-2065373602"},"reference-count":34,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2017,8,1]],"date-time":"2017-08-01T00:00:00Z","timestamp":1501545600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Informatics"],"abstract":"<jats:p>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.<\/jats:p>","DOI":"10.3390\/informatics4030025","type":"journal-article","created":{"date-parts":[[2017,8,1]],"date-time":"2017-08-01T03:30:06Z","timestamp":1501558206000},"page":"25","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Visual Analysis of Stochastic Trajectory Ensembles in Organic Solar Cell Design"],"prefix":"10.3390","volume":"4","author":[{"given":"Sathish","family":"Kottravel","sequence":"first","affiliation":[{"name":"Department of Science and Technology, Link\u00f6ping University, 60174 Norrk\u00f6ping, Sweden"}]},{"given":"Riccardo","family":"Volpi","sequence":"additional","affiliation":[{"name":"Department of Physics, Chemistry and Biology, Link\u00f6ping University, 58183 Link\u00f6ping, Sweden"}]},{"given":"Mathieu","family":"Linares","sequence":"additional","affiliation":[{"name":"Department of Physics, Chemistry and Biology, Link\u00f6ping University, 58183 Link\u00f6ping, Sweden"}]},{"given":"Timo","family":"Ropinski","sequence":"additional","affiliation":[{"name":"Institute for Media Informatics, Ulm University, 89081 Ulm, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7285-0483","authenticated-orcid":false,"given":"Ingrid","family":"Hotz","sequence":"additional","affiliation":[{"name":"Department of Science and Technology, Link\u00f6ping University, 60174 Norrk\u00f6ping, Sweden"}]}],"member":"1968","published-online":{"date-parts":[[2017,8,1]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"114901","DOI":"10.1063\/1.4748796","article-title":"Monte Carlo simulations of charge transport in organic systems with true off-diagonal disorder","volume":"137","author":"Jakobsson","year":"2012","journal-title":"J. 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