Predicting the Heats of Fusion of Ionic Liquids via Group Contribution Modeling and Machine Learning

Predicting the Heats of Fusion of Ionic Liquids via Group Contribution Modeling and Machine Learning

A Master of Science thesis in Chemical Engineering by Samira Jihad Zeinab entitled, “Predicting the Heats of Fusion of Ionic Liquids via Group Contribution Modeling and Machine Learning”, submitted in April 2022. Thesis advisor is Dr. Paul Nancarrow and thesis co-advisor is Dr. Nabil Abdel Jabbar. S...

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Bibliographic Details
Main Author: Zeinab, Samira Jihad (author)
Format: doctoralThesis
Published: 2022
Subjects:
Ionic Liquids
Phase Change Material
Enthalpy of Fusion
Melting point
Energy
Energy Security
Thermal Energy Storage
GCM
Online Access:http://hdl.handle.net/11073/24084
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Summary:A Master of Science thesis in Chemical Engineering by Samira Jihad Zeinab entitled, “Predicting the Heats of Fusion of Ionic Liquids via Group Contribution Modeling and Machine Learning”, submitted in April 2022. Thesis advisor is Dr. Paul Nancarrow and thesis co-advisor is Dr. Nabil Abdel Jabbar. Soft copy is available (Thesis, Completion Certificate, Approval Signatures, and AUS Archives Consent Form).

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