Mehdi Torkmahalleh, PhD

Assistant Professor

  • 204 Citations
  • 9 h-Index
20072019
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Personal profile

External positions

Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

Particulate Matter Chemical Compounds
particulate matter Earth & Environmental Sciences
Cooking Engineering & Materials Science
chromium Earth & Environmental Sciences
Solar ponds Engineering & Materials Science
Heating Engineering & Materials Science
Distillation columns Engineering & Materials Science
heating Earth & Environmental Sciences

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Research Output 2007 2019

  • 204 Citations
  • 9 h-Index
  • 63 Conference contribution
  • 31 Article
  • 1 Review article

Molecular dynamics simulations on extractive desulfurization of fuels by tetrabutylammonium chloride based Deep Eutectic Solvents

Shah, D., Gapeyenko, D., Urakpayev, A. & Torkmahalleh, M., Jan 15 2019, In : Journal of Molecular Liquids. 274, p. 254-260 7 p.

Research output: Contribution to journalArticle

Desulfurization
eutectics
Eutectics
Molecular dynamics
chlorides

A Comparison between Satellite Observations and Ground Measurements for Fine Particulate Matter in Karachi, Pakistan

Darynova, Z., Torkmahalleh, M. & Khwaja, H. A., 2018, International Aerosol Conference . St. Luis, Missouri, USA

Research output: Chapter in Book/Report/Conference proceedingConference contribution

A conceptual model to understand the soluble and insoluble Cr species in deliquesced particles

Torkmahalleh, M., Konakbayeva, D., Fyrillas, M., Zinetullina, A., Rule, A. & Hopke, P. K., 2018, (Accepted/In press) In : Journal of Aerosol Science.

Research output: Contribution to journalArticle

A new computer model for the simulation of secondary organic aerosol formation from stir-frying additives using Aspen Plus.

Torkmahalleh, M. & Aldemkhan, F., 2018, International Aerosol Conference . St. Luis, Missouri, USA

Research output: Chapter in Book/Report/Conference proceedingConference contribution

A new model to predict MEA loss through particulate phase (Aerosol) in Post Combustion CO2 Capture Plants using Aspen Plus

Torkmahalleh, M., Galymzhanov, N., Khakharia, P. & Geotheer, E., 2018, AIChE Spring Meeting. Orlando, USA

Research output: Chapter in Book/Report/Conference proceedingConference contribution