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Full-Text Articles in Engineering
Intelligent Machine Learning: Tailor-Making Macromolecules, Yousef Mohammadi, Mohammad Reza Saeb, Alexander Penlidis, Esmaiel Jabbari, Florian J. Stadler, Philippe Zinck, Krzysztof Matyjaszewski
Intelligent Machine Learning: Tailor-Making Macromolecules, Yousef Mohammadi, Mohammad Reza Saeb, Alexander Penlidis, Esmaiel Jabbari, Florian J. Stadler, Philippe Zinck, Krzysztof Matyjaszewski
Faculty Publications
Nowadays, polymer reaction engineers seek robust and effective tools to synthesize complex macromolecules with well-defined and desirable microstructural and architectural characteristics. Over the past few decades, several promising approaches, such as controlled living (co)polymerization systems and chain-shuttling reactions have been proposed and widely applied to synthesize rather complex macromolecules with controlled monomer sequences. Despite the unique potential of the newly developed techniques, tailor-making the microstructure of macromolecules by suggesting the most appropriate polymerization recipe still remains a very challenging task. In the current work, two versatile and powerful tools capable of effectively addressing the aforementioned questions have been proposed and …
Intelligent Machine Learning: Tailor-Making Macromolecules, Yousef Mohammadi, Mohammad Reza Saeb, Alexander Penlidis, Esmaiel Jabbari, Florian J. Stadler, Philippe Zinck, Krzysztof Matyjaszewski
Intelligent Machine Learning: Tailor-Making Macromolecules, Yousef Mohammadi, Mohammad Reza Saeb, Alexander Penlidis, Esmaiel Jabbari, Florian J. Stadler, Philippe Zinck, Krzysztof Matyjaszewski
Faculty Publications
Nowadays, polymer reaction engineers seek robust and effective tools to synthesize complex macromolecules with well-defined and desirable microstructural and architectural characteristics. Over the past few decades, several promising approaches, such as controlled living (co)polymerization systems and chain-shuttling reactions have been proposed and widely applied to synthesize rather complex macromolecules with controlled monomer sequences. Despite the unique potential of the newly developed techniques, tailor-making the microstructure of macromolecules by suggesting the most appropriate polymerization recipe still remains a very challenging task. In the current work, two versatile and powerful tools capable of effectively addressing the aforementioned questions have been proposed and …
Zn-Doped Cu(100) Facet With Efficient Catalytic Ability For The Co2 Electroreduction To Ethylene, Yuefeng Zhang, Yong Zhao, Caiyun Wang, Zengxi Wei, Junliang Yang, Jianmin Ma
Zn-Doped Cu(100) Facet With Efficient Catalytic Ability For The Co2 Electroreduction To Ethylene, Yuefeng Zhang, Yong Zhao, Caiyun Wang, Zengxi Wei, Junliang Yang, Jianmin Ma
Australian Institute for Innovative Materials - Papers
Electrochemically converting CO2 into fuels and chemicals is an appealing strategy to create energy rich products. The highly demanded product ethylene has been preferably produced on Cu-based catalysts with abundant exposed Cu(100) facets. However, the performance is still limited by the large energy barrier for the C-C dimerization. Here, to lower the energy barrier, we tailor the electronic structure of Cu(100) by doping a series of transition metals using the density functional theory (DFT) method. The zinc-doped Cu(100) surface has shown a superior catalytic performance. Mechanistic study further reveals that doping with Zn alters the electronic structure around Cu, adjusts …