Evidence map›Paper›PMID 37570641›Full record

ArticleMolecules (Basel, Switzerland)2023

Time Evolution of Plasmonic Features in Pentagonal Ag Clusters.

Nicola Domenis, Pablo Grobas Illobre, Margherita Marsili, Mauro Stener, Daniele Toffoli, Emanuele Coccia

Abstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. 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

6 authors.

Nicola DomenisDipartimento di Scienze Chimiche e Farmaceutiche, Università degli Studi di Trieste, Via L Giorgieri 1, 34127 Trieste, Italy.ORCID 0009-0004-4638-2697
Pablo Grobas IllobreScuola Normale Superiore, Piazza dei Cavalieri 7, 56126 Pisa, Italy.ORCID 0000-0003-2544-9712
Margherita MarsiliDipartimento di Fisica e Astronomia "Augusto Righi", University of Bologna, Viale Berti Pichat 6/2, 40127 Bologna, Italy.ORCID 0000-0003-1009-287X
Mauro StenerDipartimento di Scienze Chimiche e Farmaceutiche, Università degli Studi di Trieste, Via L Giorgieri 1, 34127 Trieste, Italy.ORCID 0000-0003-3700-7903
Daniele ToffoliDipartimento di Scienze Chimiche e Farmaceutiche, Università degli Studi di Trieste, Via L Giorgieri 1, 34127 Trieste, Italy.ORCID 0000-0002-8225-6119
Emanuele CocciaDipartimento di Scienze Chimiche e Farmaceutiche, Università degli Studi di Trieste, Via L Giorgieri 1, 34127 Trieste, Italy.ORCID 0000-0003-3389-0989

Funding

European Union ICSC - Centro Nazionale di Ricerca in High Performance 299 Computing, Big Data and Quantum Computing, funded by European Union - NextGenerationEU
6 · The paper itself

Abstract

In the present work, we apply recently developed real-time descriptors to study the time evolution of plasmonic features of pentagonal Ag clusters. The method is based on the propagation of the time-dependent Schrödinger equation within a singly excited TDDFT ansatz. We use transition contribution maps (TCMs) and induced density to characterize the optical longitudinal and transverse response of such clusters, when interacting with pulses resonant with the low-energy (around 2-3 eV, A1) size-dependent or the high-energy (around 4 eV, E1) size-independent peak. TCMs plots on the analyzed clusters, Ag25+ and Ag43+ show off-diagonal peaks consistent with a plasmonic response when a longitudinal pulse resonant at A1 frequency is applied, and dominant diagonal spots, typical of a molecular transition, when a transverse E1 pulse is employed. Induced densities confirm this behavior, with a dipole-like charge distribution in the first case. The optical features show a time delay with respect to the evolution of the external pulse, consistent with those found in the literature for real-time TDDFT calculations on metal clusters.

Indexed as

induced densitytime-dependent density functional theorytransition contribution map

Identifiers

PMID37570641
PMCPMC10420145

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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.