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فارسی
Seyed mohsen Hosseini
Academic rank:
Professor
ORCID:
https://orcid.org/0000-0002-3974-5312
Education:
PhD.
ScopusId:
55897505600
HIndex:
Faculty:
Engineering
Address:
Arak University
Phone:
E-mail:
S-Hosseini [at] araku.ac.ir
Home
Research activities
Research
Title
Estimation of vapor pressures, compressed liquid, and supercritical densities for sulfur dioxide using artificial neural networks
Type
JournalPaper
Keywords
-
Year
2013
Journal
International Journal of Industrial Chemistry
DOI
Researchers
Abdolreza Moghadassi
،
Mahmoodreza Nikkholgh
،
Seyed mohsen Hosseini
،
Fahime Parvizian
Abstract
-