Computer aided polymer design using multi-scale modelling
Autor(a) principal: | |
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Data de Publicação: | 2010 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Brazilian Journal of Chemical Engineering |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-66322010000300002 |
Resumo: | The ability to predict the key physical and chemical properties of polymeric materials from their repeat-unit structure and chain-length architecture prior to synthesis is of great value for the design of polymer-based chemical products, with new functionalities and improved performance. Computer aided molecular design (CAMD) methods can expedite the design process by establishing input-output relations between the type and number of functional groups in a polymer repeat unit and the desired macroscopic properties. A multi-scale model-based approach that combines a CAMD technique based on group contribution plus models for predicting polymer repeat unit properties with atomistic simulations for providing first-principles arrangements of the repeat units and for predictions of physical properties of the chosen candidate polymer structures, has been developed and tested for design of polymers with desired properties. A case study is used to highlight the main features of this multi-scale model-based approach for the design of a polymer-based product. |
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Brazilian Journal of Chemical Engineering |
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Computer aided polymer design using multi-scale modellingCAMDPolymer DesignMolecular dynamicsProperty predictionGroup contribution methodsPolyisobutyleneDiffusivityMulti-Scale ModellingThe ability to predict the key physical and chemical properties of polymeric materials from their repeat-unit structure and chain-length architecture prior to synthesis is of great value for the design of polymer-based chemical products, with new functionalities and improved performance. Computer aided molecular design (CAMD) methods can expedite the design process by establishing input-output relations between the type and number of functional groups in a polymer repeat unit and the desired macroscopic properties. A multi-scale model-based approach that combines a CAMD technique based on group contribution plus models for predicting polymer repeat unit properties with atomistic simulations for providing first-principles arrangements of the repeat units and for predictions of physical properties of the chosen candidate polymer structures, has been developed and tested for design of polymers with desired properties. A case study is used to highlight the main features of this multi-scale model-based approach for the design of a polymer-based product.Brazilian Society of Chemical Engineering2010-09-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-66322010000300002Brazilian Journal of Chemical Engineering v.27 n.3 2010reponame:Brazilian Journal of Chemical Engineeringinstname:Associação Brasileira de Engenharia Química (ABEQ)instacron:ABEQ10.1590/S0104-66322010000300002info:eu-repo/semantics/openAccessSatyanarayana,K. C.Abildskov,J.Gani,R.Tsolou,G.Mavrantzas,V. G.eng2010-11-29T00:00:00Zoai:scielo:S0104-66322010000300002Revistahttps://www.scielo.br/j/bjce/https://old.scielo.br/oai/scielo-oai.phprgiudici@usp.br||rgiudici@usp.br1678-43830104-6632opendoar:2010-11-29T00:00Brazilian Journal of Chemical Engineering - Associação Brasileira de Engenharia Química (ABEQ)false |
dc.title.none.fl_str_mv |
Computer aided polymer design using multi-scale modelling |
title |
Computer aided polymer design using multi-scale modelling |
spellingShingle |
Computer aided polymer design using multi-scale modelling Satyanarayana,K. C. CAMD Polymer Design Molecular dynamics Property prediction Group contribution methods Polyisobutylene Diffusivity Multi-Scale Modelling |
title_short |
Computer aided polymer design using multi-scale modelling |
title_full |
Computer aided polymer design using multi-scale modelling |
title_fullStr |
Computer aided polymer design using multi-scale modelling |
title_full_unstemmed |
Computer aided polymer design using multi-scale modelling |
title_sort |
Computer aided polymer design using multi-scale modelling |
author |
Satyanarayana,K. C. |
author_facet |
Satyanarayana,K. C. Abildskov,J. Gani,R. Tsolou,G. Mavrantzas,V. G. |
author_role |
author |
author2 |
Abildskov,J. Gani,R. Tsolou,G. Mavrantzas,V. G. |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Satyanarayana,K. C. Abildskov,J. Gani,R. Tsolou,G. Mavrantzas,V. G. |
dc.subject.por.fl_str_mv |
CAMD Polymer Design Molecular dynamics Property prediction Group contribution methods Polyisobutylene Diffusivity Multi-Scale Modelling |
topic |
CAMD Polymer Design Molecular dynamics Property prediction Group contribution methods Polyisobutylene Diffusivity Multi-Scale Modelling |
description |
The ability to predict the key physical and chemical properties of polymeric materials from their repeat-unit structure and chain-length architecture prior to synthesis is of great value for the design of polymer-based chemical products, with new functionalities and improved performance. Computer aided molecular design (CAMD) methods can expedite the design process by establishing input-output relations between the type and number of functional groups in a polymer repeat unit and the desired macroscopic properties. A multi-scale model-based approach that combines a CAMD technique based on group contribution plus models for predicting polymer repeat unit properties with atomistic simulations for providing first-principles arrangements of the repeat units and for predictions of physical properties of the chosen candidate polymer structures, has been developed and tested for design of polymers with desired properties. A case study is used to highlight the main features of this multi-scale model-based approach for the design of a polymer-based product. |
publishDate |
2010 |
dc.date.none.fl_str_mv |
2010-09-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-66322010000300002 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-66322010000300002 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/S0104-66322010000300002 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Brazilian Society of Chemical Engineering |
publisher.none.fl_str_mv |
Brazilian Society of Chemical Engineering |
dc.source.none.fl_str_mv |
Brazilian Journal of Chemical Engineering v.27 n.3 2010 reponame:Brazilian Journal of Chemical Engineering instname:Associação Brasileira de Engenharia Química (ABEQ) instacron:ABEQ |
instname_str |
Associação Brasileira de Engenharia Química (ABEQ) |
instacron_str |
ABEQ |
institution |
ABEQ |
reponame_str |
Brazilian Journal of Chemical Engineering |
collection |
Brazilian Journal of Chemical Engineering |
repository.name.fl_str_mv |
Brazilian Journal of Chemical Engineering - Associação Brasileira de Engenharia Química (ABEQ) |
repository.mail.fl_str_mv |
rgiudici@usp.br||rgiudici@usp.br |
_version_ |
1754213173125185536 |