Skip to content
DraconiticResearch
Search Sources API
203,234 studies31 sourcesUpdated 14 min ago
PreprintCC BY 4.0arXiv

Symmetry-based modal analysis of heat transport in molecular dynamics of quasi-1D systems

Abstract

Detailed analysis of thermal conductivity results obtained from molecular dynamics (MD) trajectories conventionally relies on knowledge of the harmonic vibrational modes of the system. This is the case in methods like Green-Kubo modal analysis (GKMA) and homogeneous nonequilibrium modal analysis (HNEMA). However, arbitrary mixing within degenerate phonon subspaces makes individual modal contributions basis dependent and can obscure their symmetry character. We propose an alternative for quasi-one-dimensional (quasi-1D) systems: we construct the modal basis for the decomposition of the thermal conductivity from line-group projection operators, so that every projected component carries well-defined symmetry labels (including rotational information and parities) and the decomposition is unique at the level of irreducible representations (irreps). Applying the idea to a (10, 0)-(20, 0) WS2-MoS2 double-walled nanotube (DWNT) described by a neuroevolution potential (NEP), we find that at 300 K both HNEMA and GKMA yield statistically consistent total conductivities and allow the identification of several prominent symmetry-adapted conduction channels. The GKMA pair matrix shows that within-block and same-channel cross-k terms account for 75.6% of the total conductivity, while cross-channel correlations contribute 24.4%.

Related

  1. Machine-Learning Molecular Dynamics Reveals Grotthuss Transport in Concentrated Electrolytes
    Øystein Gullbrekken, Sondre Kvalvåg Schnell
    arXivPreprintCC BY-NC-ND 4.0Full textPhysical chemistryCondensed matterarXiv
  2. Multiscale Modeling of Ion Transport in Nanopores: Fitting Implicit-Water Radial Diffusion Profiles to Explicit-Water Molecular Dynamics
    Mónika Valiskó, Salman Shabbir, Eszter Molnárné Lakics +2
    arXivPreprintCC BY 4.0Full textCondensed matterStatistical & nonlinear physicsarXiv
  3. Orbital-Free DFT-Assisted Machine-Learned Molecular Dynamics for Electric-Field-Driven Ionic Transport
    Yusuke Nishiya, Hiroya Nakata, Yosuke Harada +1
    arXivPreprintarXiv licenceFull textCondensed matterarXiv
  4. Low-Temperature Transport in Li-Ion Battery EC/EMC/FEC Electrolytes: Molecular Dynamics and Machine-Learning Modeling
    İpek Yenda Çınar, Oguzhan Orhan, M. Oluş Özbek +1
    arXivPreprintarXiv licenceFull textPhysical chemistryCondensed matterarXiv
  5. Unraveling Lithium Storage and Defect-Modulated Transport in 2D Copper Boride: From First Principles to Machine-Learned Molecular Dynamics
    Subhasis Sarkar, Rajnendra Singh, Brahmananda Chakraborty +1
    arXivPreprintarXiv licenceFull textCondensed matterarXiv
BibTeX
@misc{cen2026symmetrybased,
  title = {{Symmetry-based modal analysis of heat transport in molecular dynamics of quasi-1D systems}},
  author = {Yu-Jie Cen and Sandro Wieser and Georg K. H. Madsen and Jesús Carrete},
  howpublished = {arXiv},
  year = {2026},
  month = sep,
  doi = {10.48550/arxiv.2609.02397},
  eprint = {2609.02397},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2609.02397},
  note = {CC BY 4.0},
}
RIS
TY  - UNPB
TI  - Symmetry-based modal analysis of heat transport in molecular dynamics of quasi-1D systems
AU  - Yu-Jie Cen
AU  - Sandro Wieser
AU  - Georg K. H. Madsen
AU  - Jesús Carrete
PY  - 2026
DA  - 2026/09/16
PB  - arXiv
DO  - 10.48550/arxiv.2609.02397
UR  - https://arxiv.org/abs/2609.02397
AB  - Detailed analysis of thermal conductivity results obtained from molecular dynamics (MD) trajectories conventionally relies on knowledge of the harmonic vibrational modes of the system. This is the case in methods like Green-Kubo modal analysis (GKMA) and homogeneous nonequilibrium modal analysis (HNEMA). However, arbitrary mixing within degenerate phonon subspaces makes individual modal contributions basis dependent and can obscure their symmetry character. We propose an alternative for quasi-one-dimensional (quasi-1D) systems: we construct the modal basis for the decomposition of the thermal conductivity from line-group projection operators, so that every projected component carries well-defined symmetry labels (including rotational information and parities) and the decomposition is unique at the level of irreducible representations (irreps). Applying the idea to a (10, 0)-(20, 0) WS2-MoS2 double-walled nanotube (DWNT) described by a neuroevolution potential (NEP), we find that at 300 K both HNEMA and GKMA yield statistically consistent total conductivities and allow the identification of several prominent symmetry-adapted conduction channels. The GKMA pair matrix shows that within-block and same-channel cross-k terms account for 75.6% of the total conductivity, while cross-channel correlations contribute 24.4%.
ER  -