Controllable CO2 electrocatalytic reduction via ferroelectric switching on single atom anchored In2Se3 monolayer

dc.contributor.authorJu, Lin
dc.contributor.authorTan, Xin
dc.contributor.authorMao, Xin
dc.contributor.authorGu, YuanTong
dc.contributor.authorSmith, Sean
dc.contributor.authorDu, Aijun
dc.contributor.authorChen, Zhongfang
dc.contributor.authorChen, Changfeng
dc.contributor.authorKou, Liangzhi
dc.date.accessioned2023-07-13T04:49:12Z
dc.date.available2023-07-13T04:49:12Z
dc.date.issued2021
dc.date.updated2022-05-08T08:16:47Z
dc.description.abstractEfficient and selective CO2 electroreduction into chemical fuels promises to alleviate environmental pollution and energy crisis, but it relies on catalysts with controllable product selectivity and reaction path. Here, by means of first-principles calculations, we identify six ferroelectric catalysts comprising transition-metal atoms anchored on In2Se3 monolayer, whose catalytic performance can be controlled by ferroelectric switching based on adjusted d-band center and occupation of supported metal atoms. The polarization dependent activation allows effective control of the limiting potential of CO2 reduction on TM@In2Se3 (TM = Ni, Pd, Rh, Nb, and Re) as well as the reaction paths and final products on Nb@In2Se3 and Re@In2Se3. Interestingly, the ferroelectric switching can even reactivate the stuck catalytic CO2 reduction on Zr@In2Se3. The fairly low limiting potential and the unique ferroelectric controllable CO2 catalytic performance on atomically dispersed transition-metals on In2Se3 clearly distinguish them from traditional single atom catalysts, and open an avenue toward improving catalytic activity and selectivity for efficient and controllable electrochemical CO2 reduction reaction.en_AU
dc.description.sponsorshipWe acknowledge the grants of high-performance computer time from the computing facilities at the Queensland University of Technology, the Pawsey Supercomputing Center, and the National Computational Infrastructure (NCI) facility at the Australian National University allocated through both the National Computational Merit Allocation Scheme supported by the Australian Government and the Australian Research Council Grant LE190100021 (Sustaining and strengthening merit-based access at NCI, 2019 − 2021). L.J. acknowledge the support through National Natural Science foundation of China (Grants No. 11804006), Henan Key Program of Technology Research and Development (No. 182102310907), Henan College Key Research Project (No. 19A430006), and the China scholarship council for its financial support (No. 201908410036); Y.G. acknowledges the support by ARC Discovery Project DP200102546; Z. C acknowledges the support by the National Science FoundationCenters of Research Excellence in Science and Technology (NSF-CREST Center) for Innovation, Research and Education in Environmental Nanotechnology (CIRE2N) (Grant No. HRD-1736093).en_AU
dc.format.mimetypeapplication/pdfen_AU
dc.identifier.issn2041-1723en_AU
dc.identifier.urihttp://hdl.handle.net/1885/294207
dc.language.isoen_AUen_AU
dc.provenanceThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/ licenses/by/4.0/.en_AU
dc.publisherMacmillan Publishers Ltden_AU
dc.relationhttp://purl.org/au-research/grants/arc/LE190100021en_AU
dc.rights© The Author(s) 2021en_AU
dc.rights.licenseCreative Commons Attribution 4.0 International Licenseen_AU
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_AU
dc.sourceNature Communicationsen_AU
dc.titleControllable CO2 electrocatalytic reduction via ferroelectric switching on single atom anchored In2Se3 monolayeren_AU
dc.typeJournal articleen_AU
dcterms.accessRightsOpen Accessen_AU
local.bibliographicCitation.issue1en_AU
local.bibliographicCitation.lastpage10en_AU
local.bibliographicCitation.startpage1en_AU
local.contributor.affiliationJu, Lin, Queensland University of Technologyen_AU
local.contributor.affiliationTan, Xin, College of Science, ANUen_AU
local.contributor.affiliationMao, Xin, Queensland University of Technologyen_AU
local.contributor.affiliationGu, YuanTong, Queensland University of Technologyen_AU
local.contributor.affiliationSmith, Sean, RSCH Research & Innovation Portfolio, ANUen_AU
local.contributor.affiliationDu, Aijun, Queensland University of Technologyen_AU
local.contributor.affiliationChen, Zhongfang, University of Puerto Ricoen_AU
local.contributor.affiliationChen, Changfeng, University of Nevadaen_AU
local.contributor.affiliationKou, Liangzhi, Queensland University of Technologyen_AU
local.contributor.authoruidTan, Xin, u1052556en_AU
local.contributor.authoruidSmith, Sean, u1056946en_AU
local.description.notesImported from ARIESen_AU
local.identifier.absfor401600 - Materials engineeringen_AU
local.identifier.absseo280100 - Expanding knowledgeen_AU
local.identifier.ariespublicationa383154xPUB21972en_AU
local.identifier.citationvolume12en_AU
local.identifier.doi10.1038/s41467-021-25426-5en_AU
local.identifier.scopusID2-s2.0-85113750063
local.identifier.thomsonIDWOS:000691126200006
local.publisher.urlhttps://www.nature.com/en_AU
local.type.statusPublished Versionen_AU

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