The DOI matches its Crossref record; 61 of the 61 references it cites were found in a registry or an index.
Cu-Pd alloy nanoparticles as highly selective catalysts for efficient electrochemical reduction of CO2 to CO
Abstract
Abstract Although a copper catalyst has very interesting properties in CO2 electroreduction reaction (CO2RR), the high overpotential of this reaction and low selectivity of the catalyst for a single product are major hindrances to catalyst commercialization. In this work, monodisperse Cu-Pd nanoparticles (NPs) with various compositions are synthesized using the colloidal method. These NPs show a totally different catalytic performance than bulk Cu catalysts. Alloying Cu with Pd suppresses hydrocarbon production on the alloy NP catalyst surface. NPs with a 1:1 Cu-Pd ratio show the best catalytic activity for the conversion of CO2 to CO. At -0.9 V (vs. RHE), 87% CO Faradaic efficiency is achieved, as well as a high noble metal mass activity of 47 mA m g P d - 1 , for CO production. Density functional theory calculations suggest that the energy barrier to the CO* protonation step is increased when Pd is alloyed with Cu; this increase suppresses the reduction of CO2 to hydrocarbons. This result is a significant advance toward selective electrochemical reduction of CO2.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Generalized Gradient Approximation Made Simple
Perdew, J. P., Burke, K., & Ernzerhof, M. (1996) · Physical Review Letters · doi:10.1103/physrevlett.77.3865 · Cited by 215,824
Efficient iterative schemes for ab initio total-energy calculations using a plane-wave basis set
Kresse, G., & Furthmüller, J. (1996) · Physical Review B · doi:10.1103/physrevb.54.11169 · Cited by 123,652
Projector augmented-wave method
Blöchl, P. E. (1994) · Physical Review B · doi:10.1103/physrevb.50.17953 · Cited by 92,732
Ab initio molecular dynamics for liquid metals
Kresse, G., & Hafner, J. (1993) · Physical Review B · doi:10.1103/physrevb.47.558 · Cited by 45,727
Origin of the Overpotential for Oxygen Reduction at a Fuel-Cell Cathode
Nørskov, J. K., Rossmeisl, J., Logadottir, A., Lindqvist, L., Kitchin, J. R., Bligaard, T., & Jónsson, H. (2004) · The Journal of Physical Chemistry B · doi:10.1021/jp047349j · Cited by 13,153
Powering the planet: Chemical challenges in solar energy utilization
Lewis, N. S., & Nocera, D. G. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0603395103 · Cited by 8,310
Towards greener and more sustainable batteries for electrical energy storage
Larcher, D., & Tarascon, J.-M. (2015) · Nature Chemistry · doi:10.1038/nchem.2085 · Cited by 7,872
High-precision sampling for Brillouin-zone integration in metals
Methfessel, M., & Paxton, A. T. (1989) · Physical Review B · doi:10.1103/physrevb.40.3616 · Cited by 7,774
Alternative energy technologies
Dresselhaus, M. S., & Thomas, I. L. (2001) · Nature · doi:10.1038/35104599 · Cited by 4,894
Computational high-throughput screening of electrocatalytic materials for hydrogen evolution
Greeley, J., Jaramillo, T. F., Bonde, J., Chorkendorff, I., & Nørskov, J. K. (2006) · Nature Materials · doi:10.1038/nmat1752 · Cited by 4,097
Cited by
Industrial carbon dioxide capture and utilization: state of the art and future challenges
Gao, W., Liang, S., Wang, R., Jiang, Q., Zhang, Y., Zheng, Q., Xie, B., Toe, C. Y., Zhu, X., Wang, J., et al. (2020) · Chemical Society Reviews · doi:10.1039/d0cs00025f · Cited by 1,388
Electrocatalysis for CO 2 conversion: from fundamentals to value-added products
Wang, G., Chen, J., Ding, Y., Cai, P., Yi, L., Li, Y., Tu, C., Hou, Y., Wen, Z., & Dai, L. (2021) · Chemical Society Reviews · doi:10.1039/d0cs00071j · Cited by 1,295
Progress in fabrication of one-dimensional catalytic materials by electrospinning technology
Zhu, S., & Nie, L. (2021) · Journal of Industrial and Engineering Chemistry · doi:10.1016/j.jiec.2020.09.016 · Cited by 91
Metadata
- Authors
- Mun, Y., Lee, S., Cho, A., Kim, S., Han, J. W., & Lee, J.
- Venue
- Applied Catalysis B: Environmental
- Publisher
- Elsevier BV
- Published
- 2019-06
- Volume
- 246
- Pages
- 82-88
- ISSN
- 0926-3373 (ISSN-L)
- OpenAlex
- W2908561184
- Cited by
- 253
- References
- 61
- FWCI
- 6.54
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Cu-Pd alloy nanoparticles as highly selective catalysts for efficient electrochemical reduction of CO2 to CO. https://app.cochat.ai/papers/10.1016/j.apcatb.2019.01.021
- The paper
- Mun, Y., Lee, S., Cho, A., Kim, S., Han, J. W., & Lee, J. (2019). Cu-Pd alloy nanoparticles as highly selective catalysts for efficient electrochemical reduction of CO2 to CO. Applied Catalysis B: Environmental. https://doi.org/10.1016/j.apcatb.2019.01.021
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.