JOURNAL ARTICLE
Double-quantum two-dimensional electronic–vibrational spectroscopy: Theory. Vibronic coherences in nonadiabatic phenomena.
Published In: Journal of Chemical Physics, 2025, v. 162, n. 17. P. 1 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Christenson, Gerrit N.; Gaynor, James D. 3 of 3
Abstract
This article introduces two-quantum two-dimensional electronic–vibrational (2Q 2D EV) spectroscopy as a novel experimental approach to directly probe nonadiabatic dynamics at electronic curve crossings in polyatomic molecular systems through vibronic coherences. Using a semi-classical vibronic Hamiltonian model that couples high-frequency (HF) and low-frequency (LF) vibrational modes, the study demonstrates how 2Q 2D EV spectroscopy can isolate coherence transfer signals sensitive to ultrafast electronic relaxation and branching at curve crossings, which are challenging to detect with conventional methods. Simulations of two experimental cases—one with zero delay between pulses and another scanning both delays—show that time- and frequency-domain analyses of the vibronic coherence during the τ2 period reveal characteristic signatures of nonadiabatic dynamics, including frequency shifts and changes in peak intensities. The work highlights the advantages of 2Q 2D EV spectroscopy in accessing unique coherence pathways, reducing background signals, and providing detailed insight into excited state processes such as internal conversion and intersystem crossing, while noting practical considerations like pulse geometry, polarization effects, and transition dipole moment orientations.
Additional Information
- Source:Journal of Chemical Physics. 2025/05, Vol. 162, Issue 17, p1
- Document Type:Article
- Subject Area:Science
- Publication Date:2025
- ISSN:0021-9606
- DOI:10.1063/5.0263277
- Accession Number:184994017
- Copyright Statement:Copyright of Journal of Chemical Physics is the property of American Institute of Physics and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Looking to go deeper into this topic? Look for more articles on EBSCOhost.