Estimation of cross sections for molecule-cluster interactions by using artificial neural networks
No Thumbnail Available
Date
2006
Journal Title
Journal ISSN
Volume Title
Publisher
Springer
Open Access Color
OpenAIRE Downloads
OpenAIRE Views
Abstract
The cross sections Of D(2) (v,j) + Ni(n) (T), n = 19 and 20, collision systems have been estimated by using Artificial Neural Networks (ANNs). For training, previously determined cross section values via molecular dynamics simulation have been used. The performance of the ANNs for predicting any quantities in molecule-cluster interaction has been investigated. Effects of the temperature of the clusters and the rovibrational states of the molecule are analyzed. The results are in good agreement with previous studies.
Description
Keywords
Artificial Neural Networks, Molecular Dynamics, Clusters, Reactivity
Turkish CoHE Thesis Center URL
Fields of Science
Citation
Böyükata, M., Koçyiğit, Y., Güvenç, Z.B. (2006). Estimation of cross sections for molecule-cluster interactions by using artificial neural networks. Brazilian Journal of Physics, 36(3A), 730-735
WoS Q
Scopus Q
Source
Brazilian Journal of Physics
Volume
36
Issue
3A
Start Page
730
End Page
735
