Evidence map›Paper›PMID 40560118›Full record

ArticleNano letters2025

The Electric Field Morphology of Plasmonic Picocavities.

Tommaso Giovannini, Luca Nicoli, Stefano Corni, Chiara Cappelli

Abstract read
In one paragraph

Article in Nano letters, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Strong light-matter interactions in hybrid polaritonic systems.Chemical communications (Cambridge, England) · 2026
    Review
  2. Article
  3. Article
  4. Atomistic QM/Classical Modeling of Surface-Enhanced Infrared Absorption.The journal of physical chemistry. C, Nanomaterials and interfaces · 2026
    Article
  5. Article
  6. Article
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.

Tommaso GiovanniniDepartment of Physics and INFN, University of Rome Tor Vergata, Via della Ricerca Scientifica 1, 00133 Rome, Italy.ORCID 0000-0002-5637-2853
Luca NicoliScuola Normale Superiore, Piazza dei Cavalieri 7, 56126 Pisa, Italy.ORCID 0000-0002-4808-3381
Stefano CorniDepartment of Chemical Sciences, University of Padova, via Marzolo 1, 35131 Padova, Italy.ORCID 0000-0001-6707-108X
Chiara CappelliScuola Normale Superiore, Piazza dei Cavalieri 7, 56126 Pisa, Italy.ORCID 0000-0002-4872-4505

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Picocavities are plasmonic nanostructures featuring atomistic defects within subnanometer gaps. Such a unique morphology enables extreme light confinement at subnanometer scales and drives substantial field enhancements with applications from molecular sensing to plasmon-driven catalysis. However, the impact of atomistic defects on the plasmonic field morphology, which ultimately determines light-matter interactions at the nanoscale, remains largely unexplored due to the limitations of traditional theoretical models. Here, we employ the frequency-dependent fluctuating charges and dipoles (ωFQFμ) approach, an atomistic yet computationally efficient method previously validated against time-dependent density functional theory calculations, to reveal the plasmonic field morphology in gold picocavities composed of thousands of atoms. Our results uncover pronounced field inhomogeneities induced by the atomic-scale defects, which may trigger novel effects where electric field gradients are pivotal. Our findings establish the physical foundations for rationalizing experimental observations and guiding the design of next-generation nanophotonic devices with unprecedented control over atomic-scale field confinement.

Indexed as

adatomatomisticmodelingnanocavitypicocavitySERS

Identifiers

PMID40560118
PMCPMC12257643

What OpenQuestion holds

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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.