Saved in:
| Main Author: | |
|---|---|
| Format: | Artículo científico |
| Language: | en |
| Published: |
Sociedade Brasileira de Física
2006
|
| Subjects: | |
| Online Access: | https://www.redalyc.org/articulo.oa?id=46413654027 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Table of Contents:
- Estimation of Cross Sections for Molecule-Cluster Interactions by using Artificial Neural Networks Mustafa Böyükata Yücel Koçyigit Ziya B. Güvenç Física, Astronomía y Matemáticas Clusters Reactivity Molecular Dynamics Artificial Neural Networks The cross sections of D2(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. 2006 artículo científico 0103-9733 https://www.redalyc.org/articulo.oa?id=46413654027 en http://www.redalyc.org/revista.oa?id=464 Brazilian Journal of Physics application/pdf Sociedade Brasileira de Física Brazilian Journal of Physics (Brasil) Num.3A Vol.36