Cited by 168

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Smart Materials for Dynamic Thermal Radiation Regulation

Wei, Hang, Gu, Jinxin, Ren, Feifei, Zhang, Leipeng, Xu, Gaoping, Wang, Bo, Song, Shanshan, Zhao, Jiupeng, Dou, Shuliang, Li, Yao·2021·Small

Abstract

Thermal radiation in the mid‐infrared region profoundly affects human lives in various fields, including thermal management, imaging, sensing, camouflage, and thermography. Due to their fixed emissivities, radiance features of conventional materials are usually proportional to the quadruplicate of surface temperature, which set the limit, that one type of material can only present a single thermal function. Therefore, it is necessary and urgent to design materials for dynamic thermal radiation regulations to fulfill the demands of the age of intelligent machines. Recently, the ability of some smart materials to dynamically regulate thermal radiation has been evaluated. These materials are found to be competent enough for various commands, thereby, providing better alternatives and tremendously promoting the commercial potentials. In this review, the dynamic regulatory mechanisms and recent progress in the evaluation of these smart materials are summarized, including thermochromic materials, electrochromic materials, mechanically and humidity responsive materials, with the potential applications, insufficient problems, and possible strategies highlighted.

Overview

Integrity signals

Registry

Crossref · 10.1002/smll.202100446

Cites

2 of 2 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • The utilization of emerging systems such as phase-change materials, two-dimensional materials (such as graphene, hexagonal boron nitride), and metamaterials facilitates dynamic regulation of material emissivity under external stimulant (such as temperature changes, electric field control) at cryogenic temperatures.

    “The utilization of emerging systems, such as phase-change materials, two-dimensional materials (such as graphene, hexagonal boron nitride), and metamaterials, facilitates dynamic regulation of material emissivity under external stimulant (such as temperature changes, electric field control) at cryogenic temperatures.”

Citations

Cites

Flagged first, then by citations

Research works printed but not linked: 116

  1. 10.1126/science.aau1217 · DOI
  2. 10.1126/science.aaf5471 · DOI
  3. 10.1002/adma.201707237 · DOI
  4. 10.1002/adma.201807849 · DOI
  5. 10.1126/science.1187454 · DOI
  6. 10.1126/science.aar5191 · DOI
  7. 10.1126/science.1222149 · DOI
  8. 10.1126/science.140.3569.870 · DOI
  9. 10.1016/j.joule.2019.08.009 · DOI
  10. 10.1016/j.ijheatmasstransfer.2020.119346 · DOI
  11. 10.1515/nanoph-2019-0485 · DOI
  12. 10.1016/j.tsf.2011.10.053 · DOI
  13. 10.1016/j.joule.2018.06.018 · DOI
  14. 10.1016/j.pmatsci.2016.03.001 · DOI
  15. 10.1021/acsami.9b17923 · DOI
  16. 10.1016/j.mattod.2018.03.029 · DOI
  17. E.Haddad R. V.Kruzelecky A.Hendaoui M.Chaker W.Jamroz P.Poinas 43rd International Conference on Environmental Systems 2013.
  18. 10.1631/jzus.A0820546 · DOI
  19. 10.1002/adom.201700368 · DOI
  20. 10.1038/s41598-020-70931-0 · DOI
  21. 10.1016/j.apsusc.2015.03.116 · DOI
  22. 10.1016/j.solmat.2019.110260 · DOI
  23. 10.1038/srep13384 · DOI
  24. 10.1364/OE.26.00A777 · DOI
  25. 10.1126/science.1232009 · DOI · Paper page
  26. 10.1038/s41598-018-26150-9 · DOI
  27. 10.1063/1.5025947 · DOI
  28. 10.1021/acsphotonics.8b00119 · DOI
  29. 10.1021/acsaelm.0c00383 · DOI
  30. 10.1364/OE.378424 · DOI
  31. 10.1126/science.abb0971 · DOI
  32. 10.1016/j.solmat.2017.10.013 · DOI
  33. 10.1016/j.solmat.2019.02.028 · DOI
  34. 10.1016/j.solmat.2018.05.042 · DOI
  35. 10.1016/j.ceramint.2020.05.058 · DOI
  36. 10.1021/acs.nanolett.5b04090 · DOI
  37. 10.1002/admi.201801063 · DOI
  38. 10.1021/acsphotonics.8b00972 · DOI
  39. 10.1063/1.4893616 · DOI
  40. 10.1016/j.mtener.2019.05.017 · DOI
  41. 10.1002/adma.201705421 · DOI
  42. 10.1016/j.matt.2019.04.004 · DOI
  43. 10.1016/j.tsf.2014.03.043 · DOI
  44. 10.1002/adma.201907071 · DOI
  45. 10.1126/sciadv.abd8688 · DOI
  46. 10.1038/ncomms1528 · DOI
  47. 10.1103/PhysRevLett.107.045901 · DOI
  48. 10.3390/app9030530 · DOI
  49. 10.1063/1.4949011 · DOI
  50. 10.1021/acscombsci.7b00047 · DOI
  51. 10.1038/lsa.2016.194 · DOI
  52. 10.1038/s41377-018-0038-5 · DOI
  53. 10.1038/nmat2226 · DOI
  54. 10.1002/adma.201502023 · DOI
  55. 10.1002/adom.201800169 · DOI
  56. 10.1364/OPTICA.392878 · DOI
  57. 10.1016/j.materresbull.2015.01.016 · DOI
  58. 10.1103/PhysRev.82.403 · DOI
  59. 10.1016/0031-8914(50)90033-4 · DOI
  60. 10.1103/PhysRev.82.403 · DOI
  61. 10.2514/2.6760 · DOI
  62. 10.1063/1.1489079 · DOI
  63. 10.1016/j.actaastro.2016.01.001 · DOI
  64. 10.1016/j.applthermaleng.2012.07.046 · DOI
  65. 10.1016/j.jallcom.2016.05.018 · DOI
  66. 10.1016/j.jqsrt.2011.08.007 · DOI
  67. 10.1364/AO.42.001360 · DOI
  68. Hu R., 2020, Phys. Rev. X, 10, 021050
  69. 10.1016/j.nanoen.2020.104687 · DOI
  70. 10.1016/j.egyai.2020.100046 · DOI
  71. Granqvist C. G., 2000, Sol. Energy Mater. Sol. Cells, 99, 0927
  72. 10.1364/JOSAA.1.001171 · DOI
  73. 10.1016/S0040-6090(98)01335-2 · DOI
  74. 10.1063/1.1319325 · DOI
  75. 10.1063/1.1430543 · DOI
  76. Nikolai K., 2003, AIP Conference Proceedings, 172
  77. 10.1063/1.1649564 · DOI
  78. 10.1016/j.solmat.2009.02.025 · DOI
  79. Zhang X., 2019, Sol. Energy Mater. Sol. Cells, 200
  80. 10.1002/adfm.201802180 · DOI
  81. 10.1002/adma.201601204 · DOI
  82. 10.1021/nl1034573 · DOI
  83. 10.1002/1616-3028(20020201)12:2<95::AID-ADFM95>3.0.CO;2-N · DOI
  84. 10.1002/app.40850 · DOI
  85. 10.1016/j.electacta.2012.10.067 · DOI
  86. 10.1039/C9TC02126D · DOI
  87. 10.1016/j.dyepig.2020.109084 · DOI
  88. 10.1016/j.solmat.2017.05.053 · DOI
  89. 10.1016/j.dyepig.2019.107570 · DOI
  90. 10.1016/j.solmat.2019.110356 · DOI
  91. 10.1039/D0TC03177A · DOI
  92. 10.1016/j.synthmet.2011.11.002 · DOI
  93. 10.1038/nature11253 · DOI
  94. 10.1103/RevModPhys.81.109 · DOI · Paper page
  95. 10.1038/ncomms1787 · DOI
  96. 10.1021/acs.nanolett.8b01746 · DOI
  97. 10.1021/acs.nanolett.0c01694 · DOI
  98. Low T., 2014, Nat. Commun., 8, 1086
  99. 10.1016/j.ijleo.2015.08.009 · DOI
  100. 10.1038/nmat4043 · DOI
  101. 10.1063/1.4930030 · DOI
  102. 10.1021/acsphotonics.9b00440 · DOI
  103. 10.1364/OE.381471 · DOI
  104. 10.1063/1.4793650 · DOI
  105. 10.3390/cryst10030179 · DOI
  106. 10.1039/D0TC00244E · DOI
  107. 10.1126/sciadv.aba3494 · DOI
  108. 10.1002/adma.202000697 · DOI
  109. 10.1098/rstb.2016.0536 · DOI
  110. 10.1098/rstb.2016.0333 · DOI
  111. 10.1080/15567265.2019.1586017 · DOI
  112. 10.1038/s41467-019-09589-w · DOI
  113. 10.1002/adma.201905717 · DOI
  114. 10.1016/j.joule.2020.02.011 · DOI
  115. 10.1126/sciadv.1700895 · DOI
  116. 10.1016/j.joule.2019.09.016 · DOI

Cited by

Sorted by citations

Metadata

Authors
Wei, H., Gu, J., Ren, F., Zhang, L., Xu, G., Wang, B., Song, S., Zhao, J., Dou, S., & Li, Y.
Affiliations
  • Center for Composite Materials and Structure Harbin Institute of Technology Harbin 150001 China
  • School of Chemical Engineering and Technology Harbin Institute of Technology Harbin 150001 China
ORCID
Li, Yao
Venue
Small
Publisher
Wiley
Published
2021-05-20
Volume
17
Issue
35
ISSN
  • 1613-6810
  • 1613-6829
Cited by
168
References
2
Language
en
Funders
  • National Natural Science Foundation of China (51902073)
  • China Postdoctoral Science Foundation (2019M661273, 2020T130142)
  • Heilongjiang Provincial Postdoctoral Science Foundation (LBH‐Z19159)
  • Fundamental Research Funds for the Central Universities (NSRIF. 2020019)
  • Postdoctoral Research Foundation of China (2020T130142)
  • National Key Scientific Instrument and Equipment Development Projects of China (2016YFE0201600)

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