Bibliograph. Daten | Kible, Ralf: Clusteringalgorithmen zur Keimdetektion in Gasen. Universität Stuttgart, Fakultät Informatik, Elektrotechnik und Informationstechnik, Diplomarbeit Nr. 2449 (2006). 105 Seiten, deutsch.
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CR-Klassif. | J.2 (Physical Sciences and Engineering) I.5.3 (Pattern Recognition Clustering) I.6.3 (Simulation and Modeling Applications)
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Keywords | Nukleation; Molekulardynamik |
Kurzfassung | Molecular-dynamics simulations of nucleation from vapor to liquid were performed and different clustering techniques from miscellaneous domains of computer science and thermodynamics were used to automatically detect the emerging droplets. A new algorithm to detect these droplets is proposed which needs no additional information.
Additionally tracking of the droplets beyond various timesteps was implemented and a parallel version with both cluster detection and tracking was developed. The results of the sequential as well as the parallel algorithm were verified visually, checked for physical correctness and compared with results from literature.
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Volltext und andere Links | PDF (11189497 Bytes) Zugriff auf studentische Arbeiten aufgrund vorherrschender Datenschutzbestimmungen nur innerhalb der Fakultät möglich |
Kontakt | Ralf Kible ralf_kible@gmx.de |
Abteilung(en) | Universität Stuttgart, Institut für Parallele und Verteilte Systeme, Simulation großer Systeme Universität Stuttgart, Institut für Visualisierung und Interaktive Systeme, Visualisierung und Interaktive Systeme
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Eingabedatum | 1. Mai 2007 |
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