Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 316

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Approaches for Understanding and Controlling Interfacial Effects in Oxide-Supported Metal Catalysts

Ro, Insoo, Resasco, Joaquin, Christopher, Phillip·2018·ACS Catalysis

Abstract

Heterogeneous supported metal catalysts are critical for a wide range of chemical conversion technologies. While the fundamental properties of extended metal surfaces are well understood and active sites on such systems can be designed for targeted applications, much less is known about the properties of active sites formed at the interface of nanometer-scale metal structures and their underlying oxide support. The goal of this Perspective is to highlight recent progress in understanding and controlling metal–oxide support interfacial sites on high-surface-area catalysts. Focus is given to how metal particle size, support migration onto metal particles, and intentional deposition of oxides on metal particles can be used to create high concentrations of interfacial sites. The impact of interface formation on properties of nearby metal and oxide sites is discussed in the context of understanding if the uniqueness of interfacial sites stems from bifunctionality, or if the distinct electronic properties of atoms near the interface control their catalytic behavior. Furthermore, the importance of structural dynamics of interfaces is highlighted. We pay particular attention to how microscopy, spectroscopy, and theory can be used in concert to provide insights into the behavior of these systems. We end with a forward-looking discussion on the frontiers in this field and the potential for directing catalytic reactivity by controlling the quantity and nature of metal–support interfaces.

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.8b02071

Cites

3 of 3 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 316

Metadata

Authors
Ro, I., Resasco, J., & Christopher, P.
Venue
ACS Catalysis
Published
2018-07-03
Volume
8
Issue
8
Pages
7368-7387
ISSN
2155-5435 (ISSN-L)
OpenAlex
W2810528429
Cited by
316
References
3
FWCI
12.47
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.