Evidence map›Paper›PMID 37278989›Full record

ArticleJournal of chemical theory and computation2023

QM/Classical Modeling of Surface Enhanced Raman Scattering Based on Atomistic Electromagnetic Models.

Piero Lafiosca, Luca Nicoli, Luca Bonatti, Tommaso Giovannini, Stefano Corni, Chiara Cappelli

Abstract read
In one paragraph

Article in Journal of chemical theory and computation, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Atomistic QM/Classical Modeling of Surface-Enhanced Infrared Absorption.The journal of physical chemistry. C, Nanomaterials and interfaces · 2026
    Article
  3. GW Approximation Coupled with Classical Fluctuating Charges and Dipoles.Journal of chemical theory and computation · 2026
    Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. 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.

Piero LafioscaScuola Normale Superiore, Piazza dei Cavalieri 7, 56126 Pisa, Italy.ORCID 0000-0002-3967-0736
Luca NicoliScuola Normale Superiore, Piazza dei Cavalieri 7, 56126 Pisa, Italy.ORCID 0000-0002-4808-3381
Luca BonattiScuola Normale Superiore, Piazza dei Cavalieri 7, 56126 Pisa, Italy.
Tommaso GiovanniniScuola Normale Superiore, Piazza dei Cavalieri 7, 56126 Pisa, Italy.ORCID 0000-0002-5637-2853
Stefano CorniDipartimento di Scienze Chimiche, Università di 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

We present quantum mechanics (QM)/frequency dependent fluctuating charge (QM/ωFQ) and fluctuating dipoles (QM/ωFQFμ) multiscale approaches to model surface-enhanced Raman scattering spectra of molecular systems adsorbed on plasmonic nanostructures. The methods are based on a QM/classical partitioning of the system, where the plasmonic substrate is treated by means of the atomistic electromagnetic models ωFQ and ωFQFμ, which are able to describe in a unique fashion and at the same level of accuracy the plasmonic properties of noble metal nanostructures and graphene-based materials. Such methods are based on classical physics, i.e. Drude conduction theory, classical electrodynamics, and atomistic polarizability to account for interband transitions, by also including an ad-hoc phenomenological correction to describe quantum tunneling. QM/ωFQ and QM/ωFQFμ are thus applied to selected test cases, for which computed results are compared with available experiments, showing the robustness and reliability of both approaches.

Identifiers

PMID37278989
PMCPMC10308587

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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.