Z
Zhiqin Liang
Researcher at University of Toronto
Publications - 15
Citations - 1651
Zhiqin Liang is an academic researcher from University of Toronto. The author has contributed to research in topics: Engineering & Chemistry. The author has an hindex of 5, co-authored 7 publications receiving 914 citations.
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Journal ArticleDOI
Dopant-induced electron localization drives CO 2 reduction to C 2 hydrocarbons
Yansong Zhou,Yansong Zhou,Fanglin Che,Min Liu,Min Liu,Chengqin Zou,Zhiqin Liang,Phil De Luna,Haifeng Yuan,Haifeng Yuan,Jun Li,Zhiqiang Wang,Haipeng Xie,Hongmei Li,Peining Chen,Eva Bladt,Rafael Quintero-Bermudez,Tsun-Kong Sham,Sara Bals,Johan Hofkens,David Sinton,Gang Chen,Edward H. Sargent +22 more
TL;DR: Simulations show that the ability to tune the average oxidation state of copper enables control over CO adsorption and dimerization, and makes it possible to implement a preference for the electrosynthesis of C2 products.
Journal ArticleDOI
Steering post-C–C coupling selectivity enables high efficiency electroreduction of carbon dioxide to multi-carbon alcohols
Tao-Tao Zhuang,Tao-Tao Zhuang,Zhiqin Liang,Ali Seifitokaldani,Yi Li,Phil De Luna,Thomas Burdyny,Fanglin Che,Fei Meng,Yimeng Min,Rafael Quintero-Bermudez,Cao-Thang Dinh,Yuanjie Pang,Miao Zhong,Bo Zhang,Bo Zhang,Jun Li,Peining Chen,Xueli Zheng,Hongyan Liang,Wen-Na Ge,Bangjiao Ye,David Sinton,Shu-Hong Yu,Edward H. Sargent +24 more
TL;DR: In this paper, a class of core-shell vacancy engineering catalysts that utilize sulfur atoms in the nanoparticle core and copper vacancies in the shell to achieve efficient electrochemical CO2 reduction to propanol and ethanol was proposed.
Journal ArticleDOI
Metal-Organic Frameworks Mediate Cu Coordination for Selective CO2 Electroreduction.
Dae-Hyun Nam,Oleksandr S. Bushuyev,Jun Li,Phil De Luna,Ali Seifitokaldani,Cao-Thang Dinh,F. Pelayo García de Arquer,Yuhang Wang,Zhiqin Liang,Andrew H. Proppe,Chih Shan Tan,Petar Todorović,Osama Shekhah,Christine M. Gabardo,Jea Woong Jo,Jongmin Choi,Min-Jae Choi,Se-Woong Baek,Junghwan Kim,David Sinton,Shana O. Kelley,Mohamed Eddaoudi,Edward H. Sargent +22 more
TL;DR: A strategy involving metal-organic framework (MOF)-regulated Cu cluster formation that shifts CO2 electroreduction toward multiple-carbon product generation is reported, and the tuning of the Cu-Cu CN in Cu clusters determines the CO2RR selectivity.
Journal ArticleDOI
Dipolar cations confer defect tolerance in wide-bandgap metal halide perovskites
Hairen Tan,Fanglin Che,Mingyang Wei,Yicheng Zhao,Makhsud I. Saidaminov,Petar Todorović,Danny Broberg,Grant Walters,Furui Tan,Furui Tan,Tao-Tao Zhuang,Bin Sun,Zhiqin Liang,Haifeng Yuan,Haifeng Yuan,Eduard Fron,Junghwan Kim,Zhenyu Yang,Oleksandr Voznyy,Mark Asta,Mark Asta,Edward H. Sargent +21 more
TL;DR: It is shown that healing the deep traps in wide-bandgap perovskite solar cells—in effect, increasing the defect tolerance via cation engineering—enables further performance improvements in PSCs and achieves a stabilized power conversion efficiency of 20.7%.
Journal ArticleDOI
2022 roadmap on low temperature electrochemical CO2 reduction
Ifan E. L. Stephens,Karen Lynn Chan,Alexander Bagger,Shannon W. Boettcher,Julien Bonin,Etienne Boutin,Aya K. Buckley,Raffaella Buonsanti,Etosha R. Cave,Xiaoxia Chang,See Wee Chee,Alisson Henrique Marques da Silva,Phil De Luna,Oliver Einsle,Balázs Endrődi,María Escudero-Escribano,Jorge Ferreira de Araújo,Marta C. Figueiredo,Christopher Donald Hahn,Kentaro U. Hansen,Sophia Haussener,Sara Hunegnaw,Ziyang Huo,Yun Jeong Hwang,Csaba Janáky,Buddhinie S. Jayathilake,Feng Jiao,Zarko P. Jovanov,Parisa Karimi,Marc T. M. Koper,Kendra P. Kuhl,Woong Lee,Zhiqin Liang,Xuan Liu,Sichao Ma,Mingyu Ma,Hyung Suk Oh,Marc Robert,Beatriz Roldan Cuenya,Jan Rossmeisl,Claudie Roy,Mary P. Ryan,Edward Sargent,Paula Sebastián-Pascual,Brian Seger,Ludmilla Steier,Peter Strasser,Ana Sofia Varela,R Vos,Xue Wang,Bingjun Xu,Hossein Yadegari,Yuxiang Beckett Zhou +52 more
TL;DR: In this article , the authors discuss the outstanding challenges towards commercialization of electrochemical CO2 reduction technology: energy efficiencies, selectivities, low current densities, and stability, and highlight the opportunities in establishing rigorous standards for benchmarking performance, advances in in operando characterization, the discovery of new materials towards high value products, the investigation of phenomena across multiple-length scales and the application of data science towards doing so.