Anharmonic lattice dynamics in large thermodynamic ensembles with machine-learning force fields: CsPbBr$_{3}$ a phonon-liquid with Cs rattlers
Jonathan Lahnsteiner, Menno Bokdam

TL;DR
This study uses machine-learning force fields to simulate anharmonic lattice dynamics in CsPbBr3, revealing a phonon-liquid behavior and dynamic stabilization of the crystal at elevated temperatures.
Contribution
It introduces a novel approach combining machine-learning force fields with large-scale molecular dynamics to accurately study anharmonic lattice dynamics in complex solids.
Findings
Imaginary modes are absent in PVACF, indicating dynamic stabilization.
CsPbBr3 exhibits characteristics of a phonon liquid.
Cs+ rattling motions are nearly dispersionless at ~0.8 THz.
Abstract
The phonon dispersion relations of crystal lattices can often be well-described with the harmonic approximation. However, when the potential energy landscape exhibits more anharmonicity, for instance, in case of a weakly bonded crystal or when the temperature is raised, the approximation fails to capture all crystal lattice dynamics properly. Phonon-phonon scattering mechanisms become important and limit the phonon lifetimes. We take a novel approach and simulate the phonon dispersion of a complex dynamic solid at elevated temperatures with Machine-Learning Force Fields of near-first-principles accuracy. Through large-scale molecular dynamics simulations the projected velocity autocorrelation function (PVACF) is obtained. We apply this approach to the inorganic perovskite CsPbBr. Imaginary modes in the harmonic picture of this perovskite are absent in the PVACF, indicating a…
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