Impact of surface phonons on the thermal conductivity of triply periodic minimal surface silicon

One of the core strategies for reducing the thermal conductivity of materials lies in effectively suppressing phonon transport. This study demonstrates that the thermal conductivity of silicon-based triply periodic minimal surface (TPMS) structures can be efficiently regulated through precise surface engineering. Specifically, the proportion of surface atoms and interface density in TPMS structures are controllable by adjusting the threshold parameter $c$ (a key geometric parameter that modulates the porosity of TPMS frameworks) and size parameter. Molecular dynamics simulation results indicate that TPMS structures reduce thermal conductivity, a phenomenon attributed to enhanced phonon-surface scattering. Surface phonons induce unique vibrational behaviors, including high-frequency localized modes, low-frequency phonon softening, and prominent boson-peak-like anomalies, and phonon participation ratio analysis confirms a direct correlation between strong phonon localization and surface atom density. Moreover, spectral thermal conductivity decomposition results further verify that surface phonons contribute negligibly to thermal conduction, while the core regions (with intact lattice) dominate heat transfer. These findings confirm that interaction between surface phonons and bulk phonons is the fundamental mechanism for thermal transport regulation in TPMS structures, providing a strategic pathway for designing functional thermal materials with on-demand customized thermal conductivity.

Authors

Institutions

Publication Details

Journal
Physical review. B./Physical review. B
Published
2025-10-07
DOI
https://doi.org/10.1103/ctfs-fx4m
Citations
1
Primary Topic
Thermal properties of materials
Type
article
Field-Weighted Citation Impact
0.52
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Impact of surface phonons on the thermal conductivity of triply periodic minimal surface silicon

Yakun Wan, Songhu Bi, Yong Yi, Peng Bi
1 citations
Physical review. B./Physical review. B
Thermal properties of materials
0.52
article

Impact of surface phonons on the thermal conductivity of triply periodic minimal surface silicon

Yakun Wan, Songhu Bi, Yong Yi, Peng Bi
article en
1 citations

Abstract

One of the core strategies for reducing the thermal conductivity of materials lies in effectively suppressing phonon transport. This study demonstrates that the thermal conductivity of silicon-based triply periodic minimal surface (TPMS) structures can be efficiently regulated through precise surface engineering. Specifically, the proportion of surface atoms and interface density in TPMS structures are controllable by adjusting the threshold parameter $c$ (a key geometric parameter that modulates the porosity of TPMS frameworks) and size parameter. Molecular dynamics simulation results indicate that TPMS structures reduce thermal conductivity, a phenomenon attributed to enhanced phonon-surface scattering. Surface phonons induce unique vibrational behaviors, including high-frequency localized modes, low-frequency phonon softening, and prominent boson-peak-like anomalies, and phonon participation ratio analysis confirms a direct correlation between strong phonon localization and surface atom density. Moreover, spectral thermal conductivity decomposition results further verify that surface phonons contribute negligibly to thermal conduction, while the core regions (with intact lattice) dominate heat transfer. These findings confirm that interaction between surface phonons and bulk phonons is the fundamental mechanism for thermal transport regulation in TPMS structures, providing a strategic pathway for designing functional thermal materials with on-demand customized thermal conductivity.

Physical review. B./Physical review. BVol. 112(15)
Southwest University of Science and Technology (CN), Chinese Academy of Sciences (CN), FZU ‒ Institute of Physics of the Academy of Sciences of the Czech Republic (CZ), Shenzhen Institutes of Advanced Technology (CN), University of Chinese Academy of Sciences (CN)
Openalex Percentile: Top 32%
Thermal properties of materials
0.52
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.