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https://scholarbank.nus.edu.sg/handle/10635/121403
DC Field | Value | |
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dc.title | MOLECULAR ENGINEERING OF FUNCTIONALIZED METAL-ORGANIC FRAMEWORKS FOR CO2 CAPTURE AND BIOFUEL PURIFICATION | |
dc.contributor.author | ZHANG KANG | |
dc.date.accessioned | 2015-11-05T18:00:14Z | |
dc.date.available | 2015-11-05T18:00:14Z | |
dc.date.issued | 2015-08-05 | |
dc.identifier.citation | ZHANG KANG (2015-08-05). MOLECULAR ENGINEERING OF FUNCTIONALIZED METAL-ORGANIC FRAMEWORKS FOR CO2 CAPTURE AND BIOFUEL PURIFICATION. ScholarBank@NUS Repository. | |
dc.identifier.uri | http://scholarbank.nus.edu.sg/handle/10635/121403 | |
dc.description.abstract | EMERGED AS A NEW CLASS OF HYBRID CRYSTALLINE POROUS MATERIALS, METAL-ORGANIC FRAMEWORKS (MOFS) HAVE RECEIVED TREMENDOUS INTEREST OVER THE LAST TWO DECADES. THEY CAN BE SYNTHESIZED BY JUDICIOUS SELECTION OF METAL-ION BASED CLUSTERS AND POLYTOPIC ORGANIC LINKERS, AND FURTHER MODIFIED BY POST-SYNTHETIC METHODS. THERE EXISTS A LARGE DEGREE OF FREEDOM TO TUNE THE STRUCTURES AND FUNCTIONALITIES OF MOFS; HOWEVER, EXPERIMENTAL EVALUATION OF THEIR PROPERTIES AND PERFORMANCE IS TEDIOUS AND TIME-CONSUMING. WITH RAPID GROWTH OF COMPUTATIONAL RESOURCES, MOLECULAR MODELING HAS BECOME A ROBUST TOOL FOR MATERIALS CHARACTERIZATION, SCREENING AND DESIGN. THIS THESIS IMPLEMENTED MULTI-SCALE MODELING METHODS TO EXAMINE FUNCTIONALIZED MOFS FOR TWO IMPORTANT APPLICATIONS, CO2 CAPTURE AND BIOFUEL PURIFICATION. THE MICROSCOPIC INSIGHTS OF ADSORPTIONS AND SEPARATIONS ARE PROVIDED AND THE IN-DEPTH QUANTITATIVE UNDERSTANDING IS HELPFUL TO BETTER ELUCIDATE THE ADSORPTION BEHAVIOUR OF CO2 AND ALCOHOLS IN MOFS, AND | |
dc.language.iso | en | |
dc.subject | MOFs, molecular simulation, CO2 capture, biofuel purification, adsorption, separation | |
dc.type | Thesis | |
dc.contributor.department | CHEMICAL & BIOMOLECULAR ENGINEERING | |
dc.contributor.supervisor | JIANG JIANWEN | |
dc.description.degree | Ph.D | |
dc.description.degreeconferred | DOCTOR OF PHILOSOPHY | |
dc.identifier.isiut | NOT_IN_WOS | |
Appears in Collections: | Ph.D Theses (Open) |
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ZhangK.pdf | 9.87 MB | Adobe PDF | OPEN | None | View/Download |
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