Modeling Liquid Photoemission Spectra: Path-Integral Molecular Dynamics Combined with Tuned Range-Separated Hybrid
Daniel Hollas1, Eva Muchová1, Petr Slavíček1
1Department of Physical Chemistry, University of Chemistry and Technology Prague, Technická 5, 16628 Prague 6, Czech Republic.
We developed a computational method to accurately model the valence photoemission spectra of liquids, like water. This approach captures spectral details and even subtle isotope effects, offering a viable route for liquid electronic property simulations.
Area of Science:
- Computational Chemistry
- Physical Chemistry
- Spectroscopy
Background:
- Modeling valence photoemission spectra of liquids is complex.
- Accurate simulation requires accounting for nuclear quantum effects and electronic relaxation.
- Liquid water serves as a well-characterized benchmark system.
Purpose of the Study:
- To present a computational protocol for modeling valence photoemission spectra of liquids.
- To quantitatively describe the spectrum of liquid water, including peak positions, shapes, and widths.
- To investigate the convergence of electronic properties from finite-sized droplets to bulk liquids.
Main Methods:
- Utilized finite-sized liquid water droplets in molecular dynamics simulations.
- Incorporated nuclear quantum effects using ab initio path-integral molecular dynamics with colored noise thermostat (PI+GLE).
- Calculated ionization energies using optimally tuned range-separated hybrid functionals (OT-RSH) for Koopmans-type energies including relaxation.
Main Results:
- The protocol quantitatively reproduces the valence photoemission spectrum of liquid water.
- PI+GLE simulations successfully modeled subtle isotope effects observed experimentally.
- Electronic properties of finite droplets rapidly converge to bulk liquid properties.
Conclusions:
- The developed computational protocol is a viable method for modeling liquid photoemission spectra.
- Accurate tuning of range-separation parameters in OT-RSH is crucial.
- The approach shows promise, especially with efficient GPU implementations of density functional methods.
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