The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
High‐Performance Thermally Conductive Phase Change Composites by Large‐Size Oriented Graphite Sheets for Scalable Thermal Energy Harvesting
Open accessAbstract
Efficient thermal energy harvesting using phase‐change materials (PCMs) has great potential for cost‐effective thermal management and energy storage applications. However, the low thermal conductivity of PCMs (KPCM) is a long‐standing bottleneck for high‐power‐density energy harvesting. Although PCM‐based nanocomposites with an enhanced thermal conductivity can address this issue, achieving a higher K (>10 W m−1 K−1) at filler loadings below 50 wt% remains challenging. A strategy for synthesizing highly thermally conductive phase‐change composites (PCCs) by compression‐induced construction of large aligned graphite sheets inside PCCs is demonstrated. The millimeter‐sized graphite sheet consists of lateral van‐der‐Waals‐bonded and oriented graphite nanoplatelets at the micro/nanoscale, which together with a thin PCM layer between the sheets synergistically enhance KPCM in the range of 4.4–35.0 W m−1 K−1 at graphite loadings below 40.0 wt%. The resulting PCCs also demonstrate homogeneity, no leakage, and superior phase change behavior, which can be easily engineered into devices for efficient thermal energy harvesting by coordinating the sheet orientation with the thermal transport direction. This method offers a promising route to high‐power‐density and low‐cost applications of PCMs in large‐scale thermal energy storage, thermal management of electronics, etc.
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Cites
Thermal properties of graphene and nanostructured carbon materials
Balandin, A. A. (2011) · Nature Materials · doi:10.1038/nmat3064 · Cited by 6,244
Graphene–Multilayer Graphene Nanocomposites as Highly Efficient Thermal Interface Materials
Shahil, K. M. F., & Balandin, A. A. (2012) · Nano Letters · doi:10.1021/nl203906r · Cited by 1,467
Ji, H., Sellan, D. P., Pettes, M. T., Kong, X., Ji, J., Shi, L., & Ruoff, R. S. (2014) · Energy Environ. Sci. · doi:10.1039/c3ee42573h · Cited by 592
Kholmanov, I., Kim, J., Ou, E., Ruoff, R. S., & Shi, L. (2015) · ACS Nano · doi:10.1021/acsnano.5b02917 · Cited by 341
Yang, J., Tang, L.-S., Bao, R.-Y., Bai, L., Liu, Z.-Y., Yang, W., Xie, B.-H., & Yang, M.-B. (2016) · Journal of Materials Chemistry A · doi:10.1039/c6ta08454k · Cited by 255
Solar-thermal conversion and thermal energy storage of graphene foam-based composites
Zhang, L., Li, R., Tang, B., & Wang, P. (2016) · Nanoscale · doi:10.1039/c6nr03921a · Cited by 217
Cited by
Recent Progress in Graphene/Polymer Nanocomposites
Sun, X., Huang, C., Wang, L., Liang, L., Cheng, Y., Fei, W., & Li, Y. (2021) · Advanced Materials · doi:10.1002/adma.202001105 · Cited by 490
Carbon-Based Composite Phase Change Materials for Thermal Energy Storage, Transfer, and Conversion
Chen, X., Cheng, P., Tang, Z., Xu, X., Gao, H., & Wang, G. (2021) · Advanced Science · doi:10.1002/advs.202001274 · Cited by 483
Wu, M. Q., Wu, S., Cai, Y. F., Wang, R. Z., & Li, T. X. (2021) · Energy Storage Materials · doi:10.1016/j.ensm.2021.07.019 · Cited by 409
Self-citationChen, X., Gao, H., Tang, Z., Dong, W., Li, A., & Wang, G. (2020) · Energy & Environmental Science · doi:10.1039/d0ee01355b · Cited by 348
Cheng, P., Chen, X., Gao, H., Zhang, X., Tang, Z., Li, A., & Wang, G. (2021) · Nano Energy · doi:10.1016/j.nanoen.2021.105948 · Cited by 348
Metadata
- Authors
- Wu, S., Li, T., Tong, Z., Chao, J., Zhai, T., Xu, J., Yan, T., Wu, M., Xu, Z., Bao, H., Deng, T., & Wang, R.
- Venue
- Advanced Materials
- Publisher
- Wiley
- Published
- 2019-10-17
- Volume
- 31
- Issue
- 49
- Pages
- e1905099-e1905099
- ISSN
- 0935-9648 (ISSN-L)
- 1521-4095
- OpenAlex
- W2981301832
- Cited by
- 545
- References
- 6
- FWCI
- 28.61
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Wu, S., Li, T., Tong, Z., Chao, J., Zhai, T., Xu, J., Yan, T., Wu, M., Xu, Z., Bao, H., Deng, T., & Wang, R. (2019). High‐Performance Thermally Conductive Phase Change Composites by Large‐Size Oriented Graphite Sheets for Scalable Thermal Energy Harvesting. Advanced Materials. https://doi.org/10.1002/adma.201905099
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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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