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Separation Science and Technology Volume 50, 2015 - Issue 1
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Absorption

Intelligent Prediction of CO2 Capture in Propyl Amine Methyl Imidazole Alanine Ionic Liquid: An Artificial Neural Network Model

Meysam MirarabNeyrperse Co., MAPNA GROUP, Tehran, IranCorrespondence[email protected]
,
Maysam SharifiDepartment of Chemical Engineering, Iran University of Science and Technology, Tehran, Iran
,
Bahman BehzadiDepartment of Chemical Engineering, Iran University of Science and Technology, Tehran, Iran
&
Mohammad Ali GhayyemPetroleum University of Technology, Ahwaz, Iran
Pages 26-37 | Received 09 Nov 2013, Accepted 15 Jul 2014, Published online: 26 Aug 2014

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Mostafa Lashkarbolooki. (2017) Artificial neural network modeling for prediction of binary surface tension containing ionic liquid. Separation Science and Technology 52:8, pages 1454-1467.
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Hamed Amouei, Mostafa Lashkarbolooki & Kamyar Movagharnejad. (2023) Neural Network Model of Surface Tension of Hydrocarbon–Alcohol Binary Mixtures. Journal of Thermophysics and Heat Transfer, pages 1-12.
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Ralf Dohrn, Stephanie Peper, Catinca Secuianu & José M.S. Fonseca. (2023) High-pressure fluid-phase equilibria: Experimental methods, developments and systems investigated (2013–2016). Fluid Phase Equilibria, pages 113978.
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A.K. Priya, Balaji Devarajan, Avinash Alagumalai & Hua Song. (2023) Artificial intelligence enabled carbon capture: A review. Science of The Total Environment 886, pages 163913.
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Peyvand Valeh-e-Sheyda, Marzieh Faridi Masouleh & Parisa Zarei-Kia. (2021) Prediction of CO2 solubility in pyridinium-based ionic liquids implementing new descriptor-based chemoinformatics models. Fluid Phase Equilibria 546, pages 113136.
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Lulu Cao. (2021) Application of artificial intelligence on the CO2 capture: a review. Journal of Thermal Analysis and Calorimetry 145:4, pages 1751-1768.
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Liu Helei, Puttipong Tantikhajorngosol, Christine Chan & Paitoon Tontiwachwuthikul. (2021) Technology development and applications of artificial intelligence for post-combustion carbon dioxide capture: Critical literature review and perspectives. International Journal of Greenhouse Gas Control 108, pages 103307.
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Sara S. Vieira, Gilvan M. Paz, Bárbara C.R. Araujo, Rochel M. Lago & Rita C.O. Sebastião. (2020) Use of neural network to analyze the kinetics of CO2 absorption in Li4SiO4/MgO composites from TG experimental data. Thermochimica Acta 689, pages 178628.
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Muhammad Shuaib Shaikh, A.M. Shariff, M.A. Bustam, Sahil Garg, Khadija Qureshi, Pervez Hameed Shaikh & Inamullah Bhatti. (2019) Experimental studies and artificial neural network modeling of surface tension of aqueous sodium l-prolinate solutions and piperazine blends. Chinese Journal of Chemical Engineering 27:8, pages 1904-1911.
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Abulhassan Ali, Aymn Abdulrahman, Sahil Garg, Khuram Maqsood & Ghulam Murshid. (2019) Application of artificial neural networks (ANN) for vapor-liquid-solid equilibrium prediction for CH 4 -CO 2 binary mixture . Greenhouse Gases: Science and Technology 9:1, pages 67-78.
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Vishwesh Venkatraman & Bjørn Kåre Alsberg. (2017) Predicting CO2 capture of ionic liquids using machine learning. Journal of CO2 Utilization 21, pages 162-168.
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Sahil Garg, A.M. Shariff, M.S. Shaikh, Bhajan Lal, Humbul Suleman & Nor Faiqa. (2017) Experimental data, thermodynamic and neural network modeling of CO 2 solubility in aqueous sodium salt of l -phenylalanine. Journal of CO2 Utilization 19, pages 146-156.
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Fabrice Mutelet, Dominique Alonso, Sudhir Ravula, Gary A. Baker, Bihan Jiang & William E. AcreeJr.Jr.. (2016) Infinite dilution activity coefficients of solutes dissolved in anhydrous alkyl(dimethyl)isopropylammonium bis(trifluoromethylsulfonyl)imide ionic liquids containing functionalized- and nonfunctionalized-alkyl chains. Journal of Molecular Liquids 222, pages 295-312.
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Tamar L. Greaves & Calum J. Drummond. (2015) Protic Ionic Liquids: Evolving Structure–Property Relationships and Expanding Applications. Chemical Reviews 115:20, pages 11379-11448.
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