default author photo

David R. Aleksanyan

affiliation not provided to SSRN

  • affiliation not provided to SSRN

SCHOLARLY PAPERS

1

DOWNLOADS

50

TOTAL CITATIONS

0

Scholarly Papers (1)

Actions:
Email selected abstracts
1.

Development of a Statistical Model for Predicting the Physicochemical Properties and Carbon Content of Liquid Fuel

Number of pages: 37 Posted: 07 May 2025
Vsevolod Savelenko, Mikhail Eshov, Anton A. Starostin, Uliana Makhova, Veronika A. Ginzburg, Maria S. Zelenova, Vladislav M. Lytov, Stepan M. Zainulin, Marina M. Lobashova, Ekaterina S. Rekhletskaya, Anrei V. Ilin, David R. Aleksanyan, Nikita A. Klimov and Vladimir Kapustin
Slavneft-YANOS PJSC, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN and affiliation not provided to SSRN
Downloads 50 (1,086,013)

Abstract:

Loading...

Liquid Fuels, property prediction, Fuel, gasoline, Diesel fuel, jet fuel