Predicting methods for sulfur removal from model oils using COSMO-RS and partition coefficient

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Format: Citation Index Journal
Online Access:http://eprints.utp.edu.my/10225/
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spelling my.utp.eprints.102252013-10-25T01:57:16Z Predicting methods for sulfur removal from model oils using COSMO-RS and partition coefficient Citation Index Journal NonPeerReviewed UNSPECIFIED Predicting methods for sulfur removal from model oils using COSMO-RS and partition coefficient. [Citation Index Journal] http://eprints.utp.edu.my/10225/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
format Citation Index Journal
title Predicting methods for sulfur removal from model oils using COSMO-RS and partition coefficient
spellingShingle Predicting methods for sulfur removal from model oils using COSMO-RS and partition coefficient
title_short Predicting methods for sulfur removal from model oils using COSMO-RS and partition coefficient
title_full Predicting methods for sulfur removal from model oils using COSMO-RS and partition coefficient
title_fullStr Predicting methods for sulfur removal from model oils using COSMO-RS and partition coefficient
title_full_unstemmed Predicting methods for sulfur removal from model oils using COSMO-RS and partition coefficient
title_sort predicting methods for sulfur removal from model oils using cosmo-rs and partition coefficient
url http://eprints.utp.edu.my/10225/
_version_ 1738655826105597952
score 13.18916