Classical MD phonon spectral densities, inserted into the Wigner transport formula, reproduce PbTe conductivity and improve strongly anharmonic Cs3Bi2I6Cl3 without perturbative self-energies.
Title resolution pending
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
cond-mat.mtrl-sci 2years
2026 2verdicts
CONDITIONAL 2representative citing papers
Machine-learning interatomic potentials (GAP, MACE) combined with lattice dynamics and NEMD predict thermal boundary resistance at silicon grain boundaries that is sensitive to interfacial roughness and differs substantially from classical potential predictions at high roughness.
citing papers explorer
-
Lattice thermal transport from phonon spectra beyond perturbation theory
Classical MD phonon spectral densities, inserted into the Wigner transport formula, reproduce PbTe conductivity and improve strongly anharmonic Cs3Bi2I6Cl3 without perturbative self-energies.
-
Phonon-Mediated Thermal Transport in Nanocrystalline Silicon Using Machine-Learning Interatomic Potentials
Machine-learning interatomic potentials (GAP, MACE) combined with lattice dynamics and NEMD predict thermal boundary resistance at silicon grain boundaries that is sensitive to interfacial roughness and differs substantially from classical potential predictions at high roughness.