We present quantum mechanics (QM)/frequency dependent fluctuating charge (QM/?FQ) and fluctuating dipoles (QM/?FQF?) 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 ?FQ and ?FQF?, 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/?FQ and QM/?FQF? are thus applied to selected test cases, for which computed results are compared with available experiments, showing the robustness and reliability of both approaches. © 2023 The Authors. Published by American Chemical Society

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

Corni Stefano;
2023

Abstract

We present quantum mechanics (QM)/frequency dependent fluctuating charge (QM/?FQ) and fluctuating dipoles (QM/?FQF?) 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 ?FQ and ?FQF?, 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/?FQ and QM/?FQF? are thus applied to selected test cases, for which computed results are compared with available experiments, showing the robustness and reliability of both approaches. © 2023 The Authors. Published by American Chemical Society
2023
Istituto Nanoscienze - NANO
Istituto Nanoscienze - NANO - Sede Secondaria Modena
Inglese
19
12
3616
3633
18
https://pubs.acs.org/doi/10.1021/acs.jctc.3c00177
QM/Classical Modeling of Surface Enhanced Raman Scattering Based on Atomistic Electromagnetic Models
Internazionale
No
6
info:eu-repo/semantics/article
262
Lafiosca, Piero; Nicoli, Luca; Bonatti, Luca; Giovannini, Tommaso; Corni, Stefano; Cappelli, Chiara
01 Contributo su Rivista::01.01 Articolo in rivista
open
   General Embedding Models for Spectroscopy
   GEMS
   European Commission
   Horizon 2020 Framework Programme
   818064

   Ultrafast Raman Technologies for Protein Identification and Sequencing
   ProID
   European Commission
   Horizon 2020 Framework Programme
   964363
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/452727
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