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High thermal conductivity in soft elastomers with elongated liquid metal inclusions

Open access
Bartlett, Michael D., Kazem, Navid, Powell-Palm, Matthew J., Huang, Xiaonan, Sun, Wenhuan, Malen, Jonathan A., Majidi, Carmel·2017·Proceedings of the National Academy of Sciences

Abstract

Significance: Efficient thermal transport is critical for applications ranging from electronics and energy to advanced manufacturing and transportation; it is essential in emerging domains like wearable computing and soft robotics, which require thermally conductive materials that are also soft and stretchable. However, heat transport within soft materials is limited by the dynamics of phonon transport, which results in a trade-off between thermal conductivity and compliance. We overcome this by engineering an elastomer composite embedded with elongated inclusions of liquid metal (LM) that function as thermally conductive pathways. These composites exhibit an extraordinary combination of low stiffness (<100 kPa), high strain limit (>600%), and metal-like thermal conductivity (up to 9.8 W⋅m −1 ⋅K −1 ) that far exceeds any other soft materials.

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Crossref · 10.1073/pnas.1616377114

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Metadata

Authors
Bartlett, M. D., Kazem, N., Powell-Palm, M. J., Huang, X., Sun, W., Malen, J. A., & Majidi, C.
Venue
Proceedings of the National Academy of Sciences
Published
2017-02-13
Volume
114
Issue
9
Pages
2143-2148
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2587813168
Cited by
682
References
5
FWCI
22.70
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: High thermal conductivity in soft elastomers with elongated liquid metal inclusions. https://app.cochat.ai/papers/10.1073/pnas.1616377114
The paper
Bartlett, M. D., Kazem, N., Powell-Palm, M. J., Huang, X., Sun, W., Malen, J. A., & Majidi, C. (2017). High thermal conductivity in soft elastomers with elongated liquid metal inclusions. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1616377114

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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