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Synergy between Fe and Ni in the optimal performance of (Ni,Fe)OOH catalysts for the oxygen evolution reaction

Xiao, Hai and Shin, Hyeyoung and Goddard, William A., III (2018) Synergy between Fe and Ni in the optimal performance of (Ni,Fe)OOH catalysts for the oxygen evolution reaction. Proceedings of the National Academy of Sciences of the United States of America, 115 (23). pp. 5872-5877. ISSN 0027-8424. PMCID PMC6003342. doi:10.1073/pnas.1722034115. https://resolver.caltech.edu/CaltechAUTHORS:20180521-155521778

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Abstract

The oxygen evolution reaction (OER) is critical to solar production of fuels, but the reaction mechanism underlying the performance for a best OER catalyst, Fe-doped NiOOH [(Ni,Fe)OOH], remains highly controversial. We used grand canonical quantum mechanics to predict the OER mechanisms including kinetics and thus overpotentials as a function of Fe content in (Ni,Fe)OOH catalysts. We find that density functional theory (DFT) without exact exchange predicts that addition of Fe does not reduce the overpotential much. However, DFT with exact exchange predicts dramatic improvement in performance for (Ni,Fe)OOH, leading to an overpotential of 0.42 V and a Tafel slope of 23 mV/decade (dec), in good agreement with experiments, 0.3–0.4 V and 30 mV/dec. We reveal that the high spin d^4 Fe(IV) leads to efficient formation of an active O radical intermediate, while the closed shell d^6 Ni(IV) catalyzes the subsequent O–O coupling, and thus it is the synergy between Fe and Ni that delivers the optimal performance for OER.


Item Type:Article
Related URLs:
URLURL TypeDescription
https://doi.org/10.1073/pnas.1722034115DOIArticle
http://www.pnas.org/lookup/suppl/doi:10.1073/pnas.1722034115/-/DCSupplementalPublisherSupporting Information
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6003342/PubMed CentralArticle
ORCID:
AuthorORCID
Xiao, Hai0000-0001-9399-1584
Shin, Hyeyoung0000-0001-6694-7895
Goddard, William A., III0000-0003-0097-5716
Additional Information:© 2018 National Academy of Sciences. Published under the PNAS license. Contributed by William A. Goddard III, April 14, 2018 (sent for review December 18, 2017; reviewed by Daniel G. Nocera and Annabella Selloni) PNAS May 21, 2018. 201722034; published ahead of print May 21, 2018. https://doi.org/10.1073/pnas.1722034115 This work was supported by the Joint Center for Artificial Photosynthesis, a Department of Energy (DOE) Energy Innovation Hub, supported through the Office of Science of the DOE under Award DE-SC0004993. The calculations were carried out on the Extreme Science and Engineering Discovery Environment, which is supported by National Science Foundation Grant ACI-1053575, and the Zwicky Astrophysics Supercomputer at Caltech. Author contributions: H.X. and W.A.G. designed research; H.X. and H.S. performed research; H.X. and H.S. analyzed data; and H.X. and W.A.G. wrote the paper. Reviewers: D.G.N., Harvard University; and A.S., Princeton University. The authors declare no conflict of interest. This article contains supporting information online at www.pnas.org/lookup/suppl/doi:10.1073/pnas.1722034115/-/DCSupplemental.
Group:JCAP
Funders:
Funding AgencyGrant Number
Joint Center for Artificial Photosynthesis (JCAP)UNSPECIFIED
Department of Energy (DOE)DE-SC0004993
NSFACI-1053575
Subject Keywords:density functional theory; B3PW91; PBE; electrocatalysis; reaction mechanism
Other Numbering System:
Other Numbering System NameOther Numbering System ID
WAG1286
Issue or Number:23
PubMed Central ID:PMC6003342
DOI:10.1073/pnas.1722034115
Record Number:CaltechAUTHORS:20180521-155521778
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20180521-155521778
Official Citation:Synergy between Fe and Ni in the optimal performance of (Ni,Fe)OOH catalysts for the oxygen evolution reaction Hai Xiao, Hyeyoung Shin, William A. Goddard Proceedings of the National Academy of Sciences Jun 2018, 115 (23) 5872-5877; DOI: 10.1073/pnas.1722034115
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:86530
Collection:CaltechAUTHORS
Deposited By: George Porter
Deposited On:21 May 2018 23:04
Last Modified:15 Nov 2021 20:39

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