The study offers interesting insights into the phenomenon of quantum paraelectricity in KTaO₃ and highlights the impact of machine learning methods in condensed matter physics, showing how to accelerate the discovery of anharmonic phonon properties.
Publication: L. Ranalli, C. Verdi, L. Monacelli, M. Calandra, G. Kresse, C. Franchini. 2023. ”Temperature Dependent Anharmonic Phonons in Quantum Paraelectric KTaO3 by First Principles and Machine Learned Force-Fields”. Advanced Quantum Technologies, https://doi.org/10.1002/qute.202200131
