Transient-Absorption Pump-Probe Spectra as Information-Rich Observables: Case Study of Fulvene
Conical intersections (CIs) are the most efficient channels of photodeactivation and energy transfer, while femtosecond spectroscopy is the main experimental tool delivering information on molecular CI-driven photoinduced processes. In this work, we undertake a comprehensive ab initio investigation of the CI-mediated internal conversion in fulvene by simulating evolutions of electronic populations, bond lengths and angles, and time-resolved transient absorption (TA) pump-probe (PP) spectra. TA PP spectra are evaluated on the fly by combining the symmetrical quasiclassical/Meyer-Miller-Stock-Thoss (SQC/MMST) dynamics and the doorway-window representation of spectroscopic signals. We show that the simulated time-resolved TA PP spectra reveal not only the population dynamics but also the key nuclear motions as well as mode-mode couplings. We also demonstrate that TA PP signals are not only experimental observables: They can also be considered as information-rich purely theoretical observables, which deliver more information on the CI-driven dynamics than conventional electronic populations. This information can be extracted by the appropriate theoretical analyses of time-resolved TA PP signals.
Authors
- Maxim F. Gelin (ORCID: https://orcid.org/0000-0003-3092-3343)
- Zhenggang Lan (ORCID: https://orcid.org/0000-0002-8509-0388)
- Jiawei Peng (ORCID: https://orcid.org/0009-0007-4004-0612)
- Chao Xu (ORCID: https://orcid.org/0000-0002-6921-6323)
- Zhaofa Li (ORCID: https://orcid.org/0000-0002-1838-6314)
- Yifei Zhu (ORCID: https://orcid.org/0000-0002-3025-8825)
- Feng Long Gu (ORCID: https://orcid.org/0000-0002-8141-6774)
Institutions
- South China Normal University (CN)
- Hangzhou Dianzi University (CN)
Publication Details
- Journal
- Molecules
- Published
- 2025-03-24
- DOI
- https://doi.org/10.3390/molecules30071439
- Citations
- 2
- Primary Topic
- Spectroscopy and Quantum Chemical Studies
- Type
- article
- Field-Weighted Citation Impact
- 2.49
Funders
- National Natural Science Foundation of China