The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Hierarchical graphene foam-based phase change materials with enhanced thermal conductivity and shape stability for efficient solar-to-thermal energy conversion and storage
Abstract
Recently, graphene foam (GF) with a three-dimensional (3D) interconnected network produced by template-directed chemical vapor deposition (CVD) has been used to prepare composite phase-change materials (PCMs) with enhanced thermal conductivity. However, the pore size of GF is as large as hundreds of micrometers, resulting in a remarkable thermal resistance for heat transfer from the PCM inside the large pores to the GF strut walls. In this study, a novel 3D hierarchical GF (HGF) is obtained by filling the pores of GF with hollow graphene networks. The HGF is then used to prepare a paraffin wax (PW)-based composite PCM. The thermal conductivity of the PW/HGF composite PCM is 87% and 744% higher than that of the PW/GF composite PCM and pure PW, respectively. The PW/HGF composite PCM also exhibits better shape stability than the PW/GF composite PCM, negligible change in the phase-change temperature, a high thermal energy storage density that is 95% of pure PW, good thermal reliability, and chemical stability with cycling for 100 times. More importantly, PW/HGF composite PCM allows light-driven thermal energy storage with a high light-to-thermal energy conversion and storage efficiency, indicating its great potential for applications in solar-energy utilization and storage.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Synthesis of Graphene Aerogel with High Electrical Conductivity
Worsley, M. A., Pauzauskie, P. J., Olson, T. Y., Biener, J., Satcher, J. H., & Baumann, T. F. (2010) · Journal of the American Chemical Society · doi:10.1021/ja1072299 · Cited by 1,216
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 · cited 1×
“Therefore, an approach to engineer the pore structure by growing a network of CNTs inside the pores, which further improves the thermal conductivity of the composite PCM compared with a composite PCM with only GF, was recently reported [1].”
BackgroundLiu, Z., Zou, R., Lin, Z., Gui, X., Chen, R., Lin, J., Shang, Y., & Cao, A. (2013) · Nano Letters · doi:10.1021/nl401097d · Cited by 165
Cited by
Nanoconfined phase change materials for thermal energy applications
Aftab, W., Huang, X., Wu, W., Liang, Z., Mahmood, A., & Zou, R. (2018) · Energy & Environmental Science · doi:10.1039/c7ee03587j · Cited by 647
Yuan, K., Shi, J., Aftab, W., Qin, M., Usman, A., Zhou, F., Lv, Y., Gao, S., & Zou, R. (2020) · Advanced Functional Materials · doi:10.1002/adfm.201904228 · Cited by 459
Nano-enhanced phase change materials: Fundamentals and applications
Said, Z., Pandey, A. K., Tiwari, A. K., Kalidasan, B., Jamil, F., Thakur, A. K., Tyagi, V. V., Sarı, A., & Ali, H. M. (2024) · Progress in Energy and Combustion Science · doi:10.1016/j.pecs.2024.101162 · Cited by 386
Yang, J., Qi, G.-Q., Bao, R.-Y., Yi, K., Li, M., Peng, L., Cai, Z., Yang, M.-B., Wei, D., & Yang, W. (2018) · Energy Storage Materials · doi:10.1016/j.ensm.2017.12.028 · Cited by 298
Self-citationZhang, L., Zhou, K., Wei, Q., Ma, L., Ye, W., Li, H., Zhou, B., Yu, Z., Lin, C.-T., Luo, J., et al. (2019) · Applied Energy · doi:10.1016/j.apenergy.2018.10.036 · Cited by 282
Metadata
- Authors
- Qi, G., Yang, J., Bao, R., Xia, D., Cao, M., Yang, W., Yang, M., & Wei, D.
- Venue
- Nano Research
- Publisher
- Tsinghua University Press
- Published
- 2016-12-22
- Volume
- 10
- Issue
- 3
- Pages
- 802-813
- ISSN
- 1998-0000 (ISSN-L)
- 1998-0124
- OpenAlex
- W2566642082
- Cited by
- 256
- References
- 4
- FWCI
- 17.41
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
