Evidence map›Paper›PMID 39321292›Full record

ArticleScience advances2024

Preserving surface strain in nanocatalysts via morphology control.

Chuqiao Shi, Zhihua Cheng, Alberto Leonardi, Yao Yang, Michael Engel, Matthew R Jones, Yimo Han

Abstract read
In one paragraph

Article in Science advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Chuqiao ShiDepartment of Materials Science and NanoEngineering, Rice University, Houston, TX 77006, USA.ORCID 0000-0001-6372-5445
Zhihua ChengDepartment of Chemistry, Rice University, Houston, TX 77006, USA.ORCID 0000-0001-9040-2473
Alberto LeonardiDiamond Light Source Ltd., Harwell Science and Innovation Campus, Didcot, Oxfordshire OX11 0DE, UK.ORCID 0000-0003-2949-529X
Yao YangDepartment of Chemistry and Chemical Biology, Cornell University, Ithaca, NY 14850, USA.ORCID 0000-0003-0321-3792
Michael EngelInstitute for Multiscale Simulation, IZNF, Friedrich-Alexander-Universität Erlangen-Nürnberg, 91058 Erlangen, Germany.ORCID 0000-0002-7031-3825
Matthew R JonesDepartment of Materials Science and NanoEngineering, Rice University, Houston, TX 77006, USA.ORCID 0000-0002-9289-291X
Yimo HanDepartment of Materials Science and NanoEngineering, Rice University, Houston, TX 77006, USA.ORCID 0000-0003-0563-4611

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Engineering strain critically affects the properties of materials and has extensive applications in semiconductors and quantum systems. However, the deployment of strain-engineered nanocatalysts faces challenges, in particular in maintaining highly strained nanocrystals under reaction conditions. Here, we introduce a morphology-dependent effect that stabilizes surface strain even under harsh reaction conditions. Using four-dimensional scanning transmission electron microscopy (4D-STEM), we found that cube-shaped core-shell Au@Pd nanoparticles with sharp-edged morphologies sustain coherent heteroepitaxial interfaces with larger critical thicknesses than morphologies with rounded edges. This configuration inhibits dislocation nucleation due to reduced shear stress at corners, as indicated by molecular dynamics simulations. A Suzuki-type cross-coupling reaction shows that our approach achieves a fourfold increase in activity over conventional nanocatalysts, owing to the enhanced stability of surface strain. These findings contribute to advancing the development of advanced nanocatalysts and indicate broader applications for strain engineering in various fields.

Identifiers

PMID39321292
PMCPMC11423881

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.