Horizontal array of BNNS@Ni for polydimethylsiloxane composites with high in-plane thermal conductivities and excellent photo-thermal performances

The directional arrangement of two-dimensional thermally conductive fillers can fully exploit their anisotropic advantages and form efficient thermal conduction paths within the composites, thereby significantly improving their thermal conduction efficiency. In this study, "point-surface" hetero-structured BNNS@Ni thermally conductive fillers with magnetic response are synthesized via in-situ growth and high-temperature carbonization. The H-BNNS@Ni/PDMS (BNNS@Ni horizontally arranged in the PDMS matrix) thermally conductive composites are fabricated via magnetic field orientation. When the mass ratio of BNNS to Ni in BNNS@Ni is 8:1 and the mass fraction of BNNS@Ni is 50 wt%, the in-plane thermal conductivity (<em>λ</em><em><sub>∥</sub></em>) of H-BNNS@Ni/PDMS thermally conductive composites reaches 5.50 W/(m·K), which is 27.8 times higher than that of pure PDMS (0.19 W/(m·K)), and is also significantly higher than that of R-BNNS@Ni/PDMS (BNNS@Ni randomly distributed in the PDMS matrix) thermally conductive composites (4.76 W/(m·K)) with the same mass fraction of BNNS@Ni. H-BNNS@Ni/PDMS thermally conductive composites can reduce the operating temperature at full power by 19.2<sup>o</sup>C compared to pure PDMS when used for CPU cooling. Meanwhile, H-BNNS@Ni/PDMS thermally conductive composites also exhibit excellent thermal resistance, photothermal conversion performance, and hydrophobicity.

Authors

Publication Details

Journal
Nano Research
Published
2025-06-19
DOI
https://doi.org/10.26599/nr.2025.94907700
Citations
17
Primary Topic
Thermal properties of materials
Type
article
Field-Weighted Citation Impact
8.80
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article

Horizontal array of BNNS@Ni for polydimethylsiloxane composites with high in-plane thermal conductivities and excellent photo-thermal performances

Mukun Li, Kunpeng Ruan, Junwei Gu, Hua Min Qiu et al.
17 citations
Nano Research
Thermal properties of materials
8.80
article

Horizontal array of BNNS@Ni for polydimethylsiloxane composites with high in-plane thermal conductivities and excellent photo-thermal performances

Mukun Li, Kunpeng Ruan, Junwei Gu, Hua Min Qiu, Xuetao Shi, Yaoqi Wang, Ping Song, Yongqiang Guo, Hua Guo, Mukun He
article en
17 citations

Abstract

The directional arrangement of two-dimensional thermally conductive fillers can fully exploit their anisotropic advantages and form efficient thermal conduction paths within the composites, thereby significantly improving their thermal conduction efficiency. In this study, "point-surface" hetero-structured BNNS@Ni thermally conductive fillers with magnetic response are synthesized via in-situ growth and high-temperature carbonization. The H-BNNS@Ni/PDMS (BNNS@Ni horizontally arranged in the PDMS matrix) thermally conductive composites are fabricated via magnetic field orientation. When the mass ratio of BNNS to Ni in BNNS@Ni is 8:1 and the mass fraction of BNNS@Ni is 50 wt%, the in-plane thermal conductivity (<em>λ</em><em><sub>∥</sub></em>) of H-BNNS@Ni/PDMS thermally conductive composites reaches 5.50 W/(m·K), which is 27.8 times higher than that of pure PDMS (0.19 W/(m·K)), and is also significantly higher than that of R-BNNS@Ni/PDMS (BNNS@Ni randomly distributed in the PDMS matrix) thermally conductive composites (4.76 W/(m·K)) with the same mass fraction of BNNS@Ni. H-BNNS@Ni/PDMS thermally conductive composites can reduce the operating temperature at full power by 19.2<sup>o</sup>C compared to pure PDMS when used for CPU cooling. Meanwhile, H-BNNS@Ni/PDMS thermally conductive composites also exhibit excellent thermal resistance, photothermal conversion performance, and hydrophobicity.

Nano ResearchVol. 18(8)
Openalex Percentile: Top 2%
Thermal properties of materials
8.80
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Horizontal array of BNNS@Ni for polydimethylsiloxane composites with high in-plane thermal conductivities and excellent photo-thermal performances — Mukun Li, Kunpeng Ruan, et al. · Nano Research (2025) | TGRS Research Map | TGRS