Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 450

The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.

Morphology Matters: Tuning the Product Distribution of CO2 Electroreduction on Oxide-Derived Cu Foam Catalysts

Dutta, Abhijit, Rahaman, Motiar, Luedi, Nicola C., Mohos, Miklos, Broekmann, Peter·2016·ACS Catalysis

Abstract

Mesoporous Cu foams formed by a template-assisted electrodeposition process have been identified as CO 2 electrocatalysts that are highly selective toward C2 product formation (C 2 H 4 and C 2 H 6 ) with C2 efficiencies (FE C2 ) reaching 55%. The partial current of C2 product formation was found to be higher than that of the (parasitic) hydrogen evolution reaction (HER) at any potential studied (−0.4 to −1.0 vs the reversible hydrogen electrode). Moreover, formate production could largely be suppressed at any applied potential down to efficiencies (FE formate ) of ≤6%. A key point of the Cu foam catalyst activation is the in operando reduction of a Cu 2 O phase, thereby creating a large abundance of surface sites active for C–C coupling. The cuprous oxide phase has been formed after the Cu electrodeposition step by exposing the large-surface area catalyst to air at room temperature. The superior selectivity of the Cu foam catalyst studied herein originates from a combination of two effects, the availability of specific surface sites for C–C coupling [dominant (100) surface texture] and the temporal trapping of gaseous intermediates (in particular CO and C 2 H 4 ) inside the mesoporous catalyst material during CO 2 electrolysis. A systematic CO 2 electrolysis study reveals a strong dependence of the C2 efficiencies on the particular surface pore size of the mesoporous Cu catalysts with a maximal FE C2 between 50 and 100 μm pore diameters.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1021/acscatal.6b00770

Cites

9 of 9 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

Cited by

See all 450

Metadata

Authors
Dutta, A., Rahaman, M., Luedi, N. C., Mohos, M., & Broekmann, P.
Venue
ACS Catalysis
Published
2016-05-16
Volume
6
Issue
6
Pages
3804-3814
ISSN
2155-5435 (ISSN-L)
OpenAlex
W2346642582
Cited by
450
References
9
FWCI
12.60
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

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.