Vibrational spectroscopy is a technique of wide use in fields like analytical chemistry, biomedical applications, and pharmacology. The technique is cost-effective and very popular. However, a reliable assignment of vibrational spectra may be hard to achieve for large molecular systems or when nuclear quantum effects (NQEs) are sizeable. These aspects hamper the effectiveness of vibrational spectroscopy as an analytical and characterization tool. Computational approaches may help overcome the shortcomings of a purely experimental investigation. For instance, classical molecular dynamics is computationally cheap and easy to perform also by a non-expert user, but it cannot account for NQEs. The latter can be included in an affordable way if approximate quantum mechanical methods based on classical trajectories are employed. Here we review the main theoretical approaches based on classical trajectories and able to deal with NQEs in vibrational spectroscopy. We start by reporting on the possibility to employ methods derived from the path integral representation of quantum mechanics, i.e. semiclassical (SC) dynamics, centroid molecular dynamics (CMD), ring polymer molecular dynamics (RPMD), and their variants. Then, other techniques like the quantum thermal bath (QTB) and the quasi-classical trajectory (QCT) method are highlighted. All but SC methods are based on a fully classical real-time propagation. This review aims at increasing the awareness of useful and ready-to-use classical-trajectory-based computational techniques among the broader community of experimental researchers, developers, and applied scientists, who employ vibrational spectroscopy in their everyday’s activity.

Quantum Vibrational Spectroscopy with Classical Trajectories / R. Conte, C. Aieta, M. Ceotto. - In: CHEMICAL SCIENCE. - ISSN 2041-6520. - 17:7(2026), pp. 3430.1-3430.19. [10.1039/D5SC09965J]

Quantum Vibrational Spectroscopy with Classical Trajectories

R. Conte
Primo
;
C. Aieta
Secondo
;
M. Ceotto
Ultimo
2026

Abstract

Vibrational spectroscopy is a technique of wide use in fields like analytical chemistry, biomedical applications, and pharmacology. The technique is cost-effective and very popular. However, a reliable assignment of vibrational spectra may be hard to achieve for large molecular systems or when nuclear quantum effects (NQEs) are sizeable. These aspects hamper the effectiveness of vibrational spectroscopy as an analytical and characterization tool. Computational approaches may help overcome the shortcomings of a purely experimental investigation. For instance, classical molecular dynamics is computationally cheap and easy to perform also by a non-expert user, but it cannot account for NQEs. The latter can be included in an affordable way if approximate quantum mechanical methods based on classical trajectories are employed. Here we review the main theoretical approaches based on classical trajectories and able to deal with NQEs in vibrational spectroscopy. We start by reporting on the possibility to employ methods derived from the path integral representation of quantum mechanics, i.e. semiclassical (SC) dynamics, centroid molecular dynamics (CMD), ring polymer molecular dynamics (RPMD), and their variants. Then, other techniques like the quantum thermal bath (QTB) and the quasi-classical trajectory (QCT) method are highlighted. All but SC methods are based on a fully classical real-time propagation. This review aims at increasing the awareness of useful and ready-to-use classical-trajectory-based computational techniques among the broader community of experimental researchers, developers, and applied scientists, who employ vibrational spectroscopy in their everyday’s activity.
Settore CHEM-02/A - Chimica fisica
Settore PHYS-04/A - Fisica teorica della materia, modelli, metodi matematici e applicazioni
   Post Born-Oppenheimer Approximation for Semiclassical Spectroscopy Investigation of Proton-Coupled Electron Transfer Processes (NEOSC)
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   Divide and Conquer ad initio semiclassical molecular dynamics for spectropic calculations of complex systems (SEMICOMPLEX)
   SEMICOMPLEX
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   H2020
   647107
2026
28-gen-2026
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/1213797
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