Related Experiment Video
Updated: Aug 9, 2026

Using Solution NMR to Characterize Biomolecular Condensates Under Biphasic Conditions
Published on: April 17, 2026
Franck-Condon simulations of clusters: phenol-nitrogen
Igor Pugliesi1, M J Watkins, Klaus Müller-Dethlefs
1Department of Chemistry, York Centre of Laser Spectroscopy, YCLS, The University of York, Heslington, York YO10 5DD, UK. igor.pugliesi@gmail.com
Multidimensional Franck-Condon simulations accurately predict phenol-nitrogen mass-analyzed threshold ionization (MATI) spectra, but underestimate resonance enhanced multiphoton ionization (REMPI) spectra. SACCI optimized geometries yield the best simulation results.
Area of Science:
- Physical Chemistry
- Computational Quantum Chemistry
- Spectroscopy
Background:
- Resonance enhanced multiphoton ionization (REMPI) and mass-analyzed threshold ionization (MATI) are powerful spectroscopic techniques.
- Accurate theoretical simulations are crucial for interpreting complex molecular spectra, especially for van der Waals clusters like phenol-nitrogen.
- Previous studies have explored various computational methods for simulating ionization spectra, with varying degrees of success.
Purpose of the Study:
- To perform multidimensional Franck-Condon simulations for phenol-nitrogen using different computational geometries.
- To evaluate the accuracy of these simulations for both REMPI and MATI spectra.
- To identify the optimal computational method and geometries for simulating the ionization spectra of phenol-nitrogen.
Main Methods:
- Multidimensional Franck-Condon simulations were employed.
- Geometries were optimized using complete active space self-consistent field (CASSCF), multi-reference configuration interaction (MRCI), and symmetry-adapted cluster configuration interaction (SACCI) methods.
- Simulations were compared against experimental REMPI and MATI spectra of phenol-nitrogen.
Main Results:
- REMPI simulations showed significant underestimation of intermolecular mode transitions and their intensities compared to intramolecular modes.
- MATI spectra simulations demonstrated good agreement with experimental data.
- Symmetry-adapted cluster configuration interaction (SACCI) optimized geometries provided the most accurate simulations for both REMPI and MATI spectra.
Conclusions:
- Multidimensional Franck-Condon simulations are more successful in reproducing MATI spectra than REMPI spectra for phenol-nitrogen.
- SACCI optimized geometries are recommended for accurate simulation of ionization spectra in such systems.
- The prominent Franck-Condon envelopes in MATI spectra are attributed to sigma and sigma + ngamma' combination bands.
Related Concept Videos
¹H NMR of Conformationally Flexible Molecules: Temporal Resolution
2D NMR: Homonuclear Correlation Spectroscopy (COSY)
¹H NMR: Interpreting Distorted and Overlapping Signals
As Δν decreases and the signals move closer, the doublets appear increasingly distorted. The intensities of the inner lines increase at the cost of those of the outer lines as the signals are slanted or...
Conformations of Cyclohexane
The chair form is the most stable and derives its name from its resemblance to the “easy chair.” In the chair conformation, two carbon atoms are arranged out-of-plane — one above and one below, minimizing the torsional strain. In the chair form, the bond angle is very close to the ideal tetrahedral value,...
Conformations of Ethane and Propane
Staggered conformation is a low energy and more stable conformation with the C-H bonds on the front carbon placed at 60°dihedral angles relative to the C-H bonds on the back carbon, leading to a reduced torsional strain. In staggered ethane, the...
Nuclear Overhauser Enhancement (NOE)

