Estimation of cross sections for molecule-cluster interactions by using artificial neural networks

Estimation of cross sections for molecule-cluster interactions by using 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.

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Main Authors: Böyükata,Mustafa, Koçyigit,Yücel, Güvenç,Ziya B.
Format: Digital revista
Language:English
Published: Sociedade Brasileira de Física 2006
Online Access:http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-97332006000500027
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spelling oai:scielo:S0103-973320060005000272006-10-23Estimation of cross sections for molecule-cluster interactions by using artificial neural networksBöyükata,MustafaKoçyigit,YücelGüvenç,Ziya B. Artificial Neural Networks Molecular Dynamics Clusters Reactivity 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.info:eu-repo/semantics/openAccessSociedade Brasileira de FísicaBrazilian Journal of Physics v.36 n.3a 20062006-09-01info:eu-repo/semantics/articletext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-97332006000500027en10.1590/S0103-97332006000500027
institution SCIELO
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country Brasil
countrycode BR
component Revista
access En linea
databasecode rev-scielo-br
tag revista
region America del Sur
libraryname SciELO
language English
format Digital
author Böyükata,Mustafa
Koçyigit,Yücel
Güvenç,Ziya B.
spellingShingle Böyükata,Mustafa
Koçyigit,Yücel
Güvenç,Ziya B.
Estimation of cross sections for molecule-cluster interactions by using artificial neural networks
author_facet Böyükata,Mustafa
Koçyigit,Yücel
Güvenç,Ziya B.
author_sort Böyükata,Mustafa
title Estimation of cross sections for molecule-cluster interactions by using artificial neural networks
title_short Estimation of cross sections for molecule-cluster interactions by using artificial neural networks
title_full Estimation of cross sections for molecule-cluster interactions by using artificial neural networks
title_fullStr Estimation of cross sections for molecule-cluster interactions by using artificial neural networks
title_full_unstemmed Estimation of cross sections for molecule-cluster interactions by using artificial neural networks
title_sort estimation of cross sections for molecule-cluster interactions by using artificial neural networks
description 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.
publisher Sociedade Brasileira de Física
publishDate 2006
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-97332006000500027
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AT kocyigityucel estimationofcrosssectionsformoleculeclusterinteractionsbyusingartificialneuralnetworks
AT guvencziyab estimationofcrosssectionsformoleculeclusterinteractionsbyusingartificialneuralnetworks
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