| Bibliography | Kible, Ralf: Clusteringalgorithmen zur Keimdetektion in Gasen.
University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Diploma Thesis No. 2449 (2006).
105 pages, german.
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| CR-Schema | 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 |
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| Abstract | 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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Full text and
other links | PDF (11189497 Bytes)
Access to students' publications restricted to the faculty due to current privacy regulations |
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| Contact | Ralf Kible ralf_kible@gmx.de |
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| Department(s) | University of Stuttgart, Institute of Parallel and Distributed Systems, Simulation of Large Systems
University of Stuttgart, Institute of Visualisation and Interactive Systems, Visualisation and Interactive Systems
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| Entry date | May 1, 2007 |
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