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dc.contributor.authorXia, Tianlai
dc.contributor.authorWang, Ziyun
dc.contributor.authorLi, Fengwang
dc.date.accessioned2021-10-31T23:46:05Z
dc.date.available2021-10-31T23:46:05Z
dc.date.issued2021en
dc.identifier.urihttps://hdl.handle.net/2123/26721
dc.description.abstractCO2 reduction reaction (CO2RR), as a promising carbon-neutral strategy, enables the production of valuable chemicals and fuels from greenhouse gas. Despite tremendous efforts in developing CO2RR catalysts to improve activity, selectivity, and stability, mechanisms behind the catalytic performance, however, are still under-explored due largely to limited characterisation capability. In this review, advances of in-situ imaging technologies for studying CO2RR have been overviewed. These technologies emerge as powerful tools to track the transformation of catalyst materials over real-time and space, under CO2RR operating conditions. The review discusses emerging opportunities in the direction of combined in-situ characterisation techniques as well as machine learning to aid further discovery of structure-function relationships in CO2RR.en
dc.language.isoenen
dc.publisherElsevieren
dc.relation.ispartofCurrent Opinion in Electrochemistryen
dc.rightsCopyright All Rights Reserveden
dc.titleSeeing is believing: in-situ visualising dynamic evolution in CO2 electrolysisen
dc.typeArticleen
dc.subject.asrc0306 Physical Chemistry (incl. Structural)en
dc.identifier.doi10.1016/j.coelec.2021.100846
dc.relation.arcDE200100477
usyd.facultySeS faculties schools::Faculty of Engineering::School of Chemical and Biomolecular Engineeringen
usyd.citation.volume31en
usyd.citation.spage100846en
workflow.metadata.onlyNoen


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