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Mixed quantum-classical methods for polaron spectral functions
Haimi Nguyen1, Arkajit Mandal2, Ankit Mahajan1
1Department of Chemistry, Columbia University, 3000 Broadway, New York, New York 10027, USA.
The Journal of Chemical Physics
|September 15, 2025
Summary
We compared two semiclassical methods for calculating spectral functions in electron-phonon systems. Both methods show promise for accurate, efficient ab initio polaron modeling.
Area of Science:
- Condensed Matter Physics
- Quantum Chemistry
- Computational Materials Science
Background:
- The spectral function is crucial for interpreting angle-resolved photoemission spectroscopy (ARPES) experiments.
- Understanding electron-phonon interactions is key to describing charge transport in materials.
Purpose of the Study:
- To investigate and compare the performance of two semiclassical methods: the mean-field Ehrenfest method and the mapping approach to surface hopping.
- To evaluate these methods for calculating the spectral function of a single charge interacting with phonons on a lattice.
- To assess their applicability to ab initio polaron models.
Main Methods:
- Semiclassical dynamics simulations.
- Mean-field Ehrenfest method.
- Mapping approach to surface hopping.
- Investigation of the one-dimensional Holstein model.
Main Results:
- Both the mean-field Ehrenfest method and the mapping approach to surface hopping were applied to calculate spectral functions.
- The performance of these methods was compared across varying electron-phonon coupling strengths and lattice sizes.
- The study identified the relative strengths and weaknesses of each semiclassical approach.
- Demonstrated efficient and accurate application to ab initio polaron models.
Conclusions:
- Semiclassical approaches offer a computationally inexpensive route to calculating spectral properties in electron-phonon-coupled systems.
- These methods provide encouraging accuracy for realistic material simulations.
- The findings facilitate the study of polarons and related phenomena in condensed matter systems.
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