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ORCIDFadwa T. Eljack
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Journal Articles
- 2024
[j9]Sadah Mohammed
, Fadwa T. Eljack, Monzure-Khoda Kazi, Mert Atilhan:
Development of a deep learning-based group contribution framework for targeted design of ionic liquids. Comput. Chem. Eng. 186: 108715 (2024)- 2021
- [j8]Monzure-Khoda Kazi, Fadwa T. Eljack, Mahmoud M. El-Halwagi, Mohamed Haouari:
Green hydrogen for industrial sector decarbonization: Costs and impacts on hydrogen economy in qatar. Comput. Chem. Eng. 145: 107144 (2021) - 2018
- [j7]Kevin Topolski, Mohamed M. B. Noureldin, Fadwa T. Eljack, Mahmoud M. El-Halwagi:
An anchor-tenant approach to the synthesis of carbon-hydrogen-oxygen symbiosis networks. Comput. Chem. Eng. 116: 80-90 (2018) - [j6]Monzure-Khoda Kazi, Fadwa T. Eljack, Mohammad Amanullah, Ahmed Mhd Nabil AlNouss, Vasiliki Kazantzi:
A process design approach to manage the uncertainty of industrial flaring during abnormal operations. Comput. Chem. Eng. 117: 191-208 (2018) - 2016
- [j5]Fah Keen Chong, Fadwa T. Eljack, Mert Atilhan, Dominic C. Y. Foo, Nishanth G. Chemmangattuvalappil:
A systematic visual methodology to design ionic liquids and ionic liquid mixtures: Green solvent alternative for carbon capture. Comput. Chem. Eng. 91: 219-232 (2016) - 2015
- [j4]Monzure-Khoda Kazi, Fahd Mohammed, Ahmed Mhd Nabil AlNouss, Fadwa T. Eljack:
Multi-objective optimization methodology to size cogeneration systems for managing flares from uncertain sources during abnormal process operations. Comput. Chem. Eng. 76: 76-86 (2015) - 2009
- [j3]Nishanth G. Chemmangattuvalappil, Fadwa T. Eljack, Charles C. Solvason, Mario R. Eden:
A novel algorithm for molecular synthesis using enhanced property operators. Comput. Chem. Eng. 33(3): 636-643 (2009) - 2008
- [j2]Fadwa T. Eljack, Mario R. Eden:
A systematic visual approach to molecular design via property clusters and group contribution methods. Comput. Chem. Eng. 32(12): 3002-3010 (2008) - 2005
- [j1]Fadwa T. Eljack, Ahmed F. Abdelhady, Mario R. Eden, Frederico B. Gabriel, Xiaoyun Qin, Mahmoud M. El-Halwagi:
Targeting optimum resource allocation using reverse problem formulations and property clustering techniques. Comput. Chem. Eng. 29(11-12): 2304-2317 (2005)
Coauthor Index
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