Evidence map›Paper›PMID 37101463›Full record

ReviewACS nanoscience Au2023

Intermetallic Nanoarchitectures for Efficient Electrocatalysis.

Ho Young Kim, Minki Jun, Sang Hoon Joo, Kwangyeol Lee

Abstract readReview
In one paragraph

Review in ACS nanoscience Au, 2023. 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. Linking Synthetic Materials Chemistry to Electrocatalytic Performance.Angewandte Chemie (International ed. in English) · 2026
    Review
  2. Article
  3. Review
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

4 authors.

Ho Young KimHydrogen·Fuel Cell Research Center, Korea Institute of Science and Technology (KIST), 14-gil 5 Hwarang-ro, Seongbuk-gu, Seoul 02792, Republic of Korea.ORCID https://orcid.org/0000-0002-9560-192X
Minki JunDepartment of Chemistry and Research Institute for Natural Science, Korea University, Seoul 02841, Republic of Korea.ORCID https://orcid.org/0000-0002-4592-4819
Sang Hoon JooDepartment of Chemistry, Ulsan National Institute of Science and Technology (UNIST), Ulsan 44919, Republic of Korea.ORCID https://orcid.org/0000-0002-8941-9662
Kwangyeol LeeDepartment of Chemistry and Research Institute for Natural Science, Korea University, Seoul 02841, Republic of Korea.ORCID https://orcid.org/0000-0003-0575-7216

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Intermetallic structures whose regular atomic arrays of constituent elements present unique catalytic properties have attracted considerable attention as efficient electrocatalysts for energy conversion reactions. Further performance enhancement in intermetallic catalysts hinges on constructing catalytic surfaces possessing high activity, durability, and selectivity. In this Perspective, we introduce recent endeavors to boost the performance of intermetallic catalysts by generating nanoarchitectures, which have well-defined size, shape, and dimension. We discuss the beneficial effects of nanoarchitectures compared with simple nanoparticles in catalysis. We highlight that the nanoarchitectures have high intrinsic activity owing to their inherent structural factors, including controlled facets, surface defects, strained surfaces, nanoscale confinement effects, and a high density of active sites. We next present notable examples of intermetallic nanoarchitectures, namely, facet-controlled intermetallic nanocrystals and multidimensional nanomaterials. Finally, we suggest the future research directions of intermetallic nanoarchitectures.

Identifiers

PMID37101463
PMCPMC10125321

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.