| contributor | IPVS, Simulation großer Systeme | ||||||||||||||
| IVIS, Visualisierung und Interaktive Systeme | |||||||||||||||
Ralf Kible | creator |
Kible, Ralf
| date |
2006-08-15
| description |
105 pages
|
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.
| format |
application/pdf
| 11189497 Bytes | |
| identifier | http://www.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=DIP-2449&engl=1 |
| language | ger |
| publisher | Stuttgart, Germany, Universität Stuttgart |
| relation | Diploma Thesis No. 2449 |
| source | ftp://ftp.informatik.uni-stuttgart.de/pub/library/medoc.ustuttgart_fi/DIP-2449/DIP-2449.pdf |
| subject | Physical Sciences and Engineering (CR J.2) |
| Pattern Recognition Clustering (CR I.5.3) | |
| Simulation and Modeling Applications (CR I.6.3) | |
| Nukleation | |
| Molekulardynamik | |
| title | Clusteringalgorithmen zur Keimdetektion in Gasen |
| type | Text |
| Diploma Thesis |