Mozaffari, P., Baird, Z. S., Järvik, O.

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

scientific publication

teaduspublikatsioon

classifier

1.1

Scopus

Journal metrics at Scopus

Article at Scopus

WOS

Journal metrics at WOS

Article at WOS

category (general)

Physics and astronomy

Materials science

category (sub)

Physics and astronomy. Condensed matter physics

Materials science. General materials science

kvartiil

TTÜ department

energiatehnoloogia instituut

language

inglise

Uurimisrühm

Research group of sustainable energy and fuels

Laboratory of fuel and air emission analysis, Chemical engineering research and development center (until August 31, 2022)

Mozaffari, P., Baird, Z. S., Järvik, O. A predictive approach towards using PC-SAFT for modeling the properties of shale oil // Materials (2022) vol. 15, 12, art. 4221. https://doi.org/10.3390/ma15124221