Quantitatively Analyzing Phonon Spectral Contribution of Thermal Conductivity Based on Non-Equilibrium Molecular Dynamics Simulation I: From Space Fourier Transform
Yanguang Zhou, Xiaoliang Zhang, and Ming Hu

TL;DR
This paper introduces a new method called TDDDM for analyzing phonon spectral contributions to thermal conductivity directly from NEMD simulations, enabling size effect studies that were previously difficult.
Contribution
The paper presents TDDDM, a novel approach based on NEMD and lattice dynamics, to predict phonon mode specific thermal conductivity, validated against existing methods.
Findings
TDDDM accurately predicts phonon contributions in LJ Argon and Si.
TDDDM reveals size effects by showing phonons with mean free path larger than system size contribute less.
The method confirms the physical origin of size effects in NEMD thermal conductivity predictions.
Abstract
Probing detailed spectral dependence of phonon transport properties in bulk materials is critical to improve the function and performance of structures and devices in a diverse spectrum of technologies. Currently, such information can only be provided by the phonon spectral energy density (SED) or equivalently time domain normal mode analysis (TDNMA) methods in the framework of equilibrium molecular dynamics simulation (EMD), but has not been realized in non-equilibrium molecular dynamics simulations (NEMD) so far. In this paper we generate a new scheme directly based on NEMD and lattice dynamics theory, called time domain direct decomposition method (TDDDM), to predict the phonon mode specific thermal conductivity. Two benchmark cases of Lennard-Jones (LJ) Argon and Stillinger-Weber (SW) Si are studied by TDDDM to characterize contributions of individual phonon modes to overall thermal…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
