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Insights into modeling refractive index of ionic liquids using chemical structure-based machine learning methods.
Esmaeili, Ali; Hekmatmehr, Hesamedin; Atashrouz, Saeid; Madani, Seyed Ali; Pourmahdi, Maryam; Nedeljkovic, Dragutin; Hemmati-Sarapardeh, Abdolhossein; Mohaddespour, Ahmad.
Affiliation
  • Esmaeili A; Renewable Energies Engineering Department, Faculty of Mechanical and Energy Engineering, Shahid Beheshti University, Tehran, Iran.
  • Hekmatmehr H; Renewable Energies Engineering Department, Faculty of Mechanical and Energy Engineering, Shahid Beheshti University, Tehran, Iran.
  • Atashrouz S; Department of Chemical Engineering, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran. s.atashrouz@gmail.com.
  • Madani SA; Department of Chemical and Petroleum Engineering, University of Calgary, 2500 University Drive NW, Calgary, AB, T2N 1N4, Canada.
  • Pourmahdi M; Department of Polymer Reaction Engineering, Faculty of Chemical Engineering, Tarbiat Modares University, Tehran, Iran.
  • Nedeljkovic D; College of Engineering and Technology, American University of the Middle East, Egaila, 54200, Kuwait.
  • Hemmati-Sarapardeh A; Department of Petroleum Engineering, Shahid Bahonar University of Kerman, Kerman, Iran. hemmati@uk.ac.ir.
  • Mohaddespour A; State Key Laboratory of Continental Shale Hydrocarbon Accumulation and Efficient Development, Ministry of Education, Northeast Petroleum University, Daqing, 163318, China. hemmati@uk.ac.ir.
Sci Rep ; 13(1): 11966, 2023 Jul 24.
Article in En | MEDLINE | ID: mdl-37488224
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Sci Rep Year: 2023 Document type: Article Affiliation country: Iran Country of publication: United kingdom
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Sci Rep Year: 2023 Document type: Article Affiliation country: Iran Country of publication: United kingdom