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Anharmonic lattice dynamics in large thermodynamic ensembles with machine-learning force fields: <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:mi>Cs</mml:mi><mml:mi>Pb</mml:mi><mml:msub><mml:mi>Br</mml:mi><mml:mn>3</mml:mn></mml:msub></mml:mrow></mml:math>, a phonon liquid with Cs rattlers

Jonathan Lahnsteiner, Menno Bokdam

2022Physical review. B./Physical review. B43 citationsDOIOpen Access PDF

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 the 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 $\mathrm{Cs}\mathrm{Pb}{\mathrm{Br}}_{3}$. Imaginary modes in the harmonic picture of this perovskite are absent in the PVACF, indicating a dynamic stabilization of the crystal. The anharmonic nature of the potential makes a decoupling of the system into a weakly interacting phonon gas impossible. The phonon spectra of $\mathrm{Cs}\mathrm{Pb}{\mathrm{Br}}_{3}$ show the characteristics of a phonon liquid. Rattling motions of the ${\mathrm{Cs}}^{+}$ cations are studied by self-correlation functions and are shown to be nearly dispersionless motions of the cations with a frequency of $\ensuremath{\sim}0.8\phantom{\rule{0.16em}{0ex}}\mathrm{THz}$ within the lead-bromide framework.

Topics & Concepts

PhononAnharmonicityPhysicsLattice (music)Crystal (programming language)Condensed matter physicsMachine learningComputer scienceProgramming languageAcousticsMachine Learning in Materials SciencePerovskite Materials and ApplicationsAdvanced Thermoelectric Materials and Devices
Anharmonic lattice dynamics in large thermodynamic ensembles with machine-learning force fields: <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:mi>Cs</mml:mi><mml:mi>Pb</mml:mi><mml:msub><mml:mi>Br</mml:mi><mml:mn>3</mml:mn></mml:msub></mml:mrow></mml:math>, a phonon liquid with Cs rattlers | Litcius