Ion-polymer interaction analysis: an inversion of NMR spin echo experimental data

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Main Author: Rita C.O. Sebastião
Format: Artículo científico
Language:en
Published: Sociedade Brasileira de Física 2010
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author Rita C.O. Sebastião
author_facet Rita C.O. Sebastião
contents Ion-polymer interaction analysis: an inversion of NMR spin echo experimental data Rita C.O. Sebastião João P. Braga Luciano S. Virtuoso Karla A.S.F. Vello Carlos N. Pacheco Luis H.M. da Silva Física, Astronomía y Matemáticas Ill polymer Neural network Interaction ion posed inverse problem A methodology for ion-polymer interaction estimation is discussed in the present work. This method is based on the inversion of experimental spin echo NMR data using Hopfield neural network to retrieve transverse relaxation time distributions. The adopted model systems consist of aqueous solutions of poly (ethylene oxide), molar mass 1500, 4000 and 35000 γ mol-1 and sodium nitroprusside (NP) at different concentrations. Dipolar interaction is investigated in this work through the reduction in the transverse relaxation time and increase in the area under the distribution curves of the PEO protons which presented a linear correlation with the NP concentration. Neural network results were compared with the Simplex optimization procedure and experimental NMR values. The proposed methodology is robust, stable, non restrictive in relation to the system and more efficient to handle experimental data. 2010 artículo científico 0103-9733 https://www.redalyc.org/articulo.oa?id=46415799012 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.4 Vol.40
format Artículo científico
id redalyc_46415799012
institution Redalyc
language en
publishDate 2010
publisher Sociedade Brasileira de Física
spellingShingle Ion-polymer interaction analysis: an inversion of NMR spin echo experimental data
Rita C.O. Sebastião
Física, Astronomía y Matemáticas
Ill
polymer
Neural network
Interaction ion
posed inverse problem
Ion-polymer interaction analysis: an inversion of NMR spin echo experimental data Rita C.O. Sebastião João P. Braga Luciano S. Virtuoso Karla A.S.F. Vello Carlos N. Pacheco Luis H.M. da Silva Física, Astronomía y Matemáticas Ill polymer Neural network Interaction ion posed inverse problem A methodology for ion-polymer interaction estimation is discussed in the present work. This method is based on the inversion of experimental spin echo NMR data using Hopfield neural network to retrieve transverse relaxation time distributions. The adopted model systems consist of aqueous solutions of poly (ethylene oxide), molar mass 1500, 4000 and 35000 γ mol-1 and sodium nitroprusside (NP) at different concentrations. Dipolar interaction is investigated in this work through the reduction in the transverse relaxation time and increase in the area under the distribution curves of the PEO protons which presented a linear correlation with the NP concentration. Neural network results were compared with the Simplex optimization procedure and experimental NMR values. The proposed methodology is robust, stable, non restrictive in relation to the system and more efficient to handle experimental data. 2010 artículo científico 0103-9733 https://www.redalyc.org/articulo.oa?id=46415799012 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.4 Vol.40
title Ion-polymer interaction analysis: an inversion of NMR spin echo experimental data
topic Física, Astronomía y Matemáticas
Ill
polymer
Neural network
Interaction ion
posed inverse problem
url https://www.redalyc.org/articulo.oa?id=46415799012