A predictive approach towards using PC-SAFT for modeling the properties of shale oil
author
Mozaffari, Parsa
Baird, Zachariah Steven
Järvik, Oliver
statement of authorship
Parsa Mozaffari, Zachariah Steven Baird and Oliver Järvik
source
Materials
publisher
MDPI
journal volume number month
vol. 15, 12
year of publication
2022
pages
art. 4221
url
https://doi.org/10.3390/ma15124221
subject term
kukersiit
põlevkivi
pürolüüs
bensiin
keyword
kukersite oil shale
pyrolysis oil
shale oil gasoline fractions
PC-SAFT prediction mod
ISSN
1996-1944
notes
Bibliogr.: 47 ref
Open Access
Open Access
scientific publication
teaduspublikatsioon
classifier
1.1
Scopus
https://www.scopus.com/sourceid/76627
https://www.scopus.com/record/display.uri?eid=2-s2.0-85132583031&origin=inward&txGid=d5685437ee7af291434c0ca2b8a6f313
WOS
https://jcr.clarivate.com/jcr-jp/journal-profile?journal=MATERIALS&year=2022
https://www.webofscience.com/wos/woscc/full-record/WOS:000815901700001
category (general)
Physics and astronomy
Füüsika ja astronoomia
Materials science
Materjaliteadus
category (sub)
Physics and astronomy. Condensed matter physics
Füüsika ja astronoomia. Kondenseeritud aine füüsika
Materials science. General materials science
Materjaliteadus. Üldine materjaliteadus
quartile
Q2
TalTech department
energiatehnoloogia instituut
language
inglise
Reserch Group
Research group of sustainable energy and fuels
Laboratory of fuel and air emission analysis
,
Chemical engineering research and development center (until August 31, 2022)