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    <responseDate>2026-10-11T21:50:13Z</responseDate>
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    <identifier>10.57760/sciencedb.j00125.00254</identifier>
    <datestamp>2026-08-03T11:12:31Z</datestamp>
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  <dc:date>2026-08-03</dc:date>
  <dc:title>Experimental and Numerical Dataset of FeNiCo Alloy Loaded Carbon Nanofibers for Lightweight Microwave Absorption</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.j00125.00254</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This dataset is derived from the whole experimental process of fabricating four types of FeNiCo alloy-embedded carbon nanofiber microwave absorbing materials with varied Fe, Ni and Co molar ratios via electrospinning combined with high-temperature carbonization. The complete dataset covers all raw data including precursor preparation records, microscopic morphology characterization, phase structure analysis, elemental chemical state measurement, pore structure and magnetic property testing, electromagnetic parameter acquisition, microwave absorption performance calculation, and electromagnetic simulation of radar cross section (RCS).A series of physicochemical property measurements were performed sequentially using scanning electron microscope (SEM), transmission electron microscope (TEM), X-ray diffractometer (XRD), Raman spectrometer, X-ray photoelectron spectrometer (XPS), vibrating sample magnetometer (VSM), specific surface area analyzer and vector network analyzer (VNA). Simulation calculations were carried out with the aid of CST Microwave Studio software, and all measured experimental data were exported in situ from the corresponding professional characterization instruments.</dc:description>
  <dc:subject>Carbon nanofibers; FeNiCo alloy; Microwave absorption; Electromagnetic properties</dc:subject>
  <dc:creator>Wenpei Yuan</dc:creator>
  <dc:creator>Lin Qu</dc:creator>
  <dc:creator>Yajing Wang</dc:creator>
  <dc:creator>Pengyu Liu</dc:creator>
  <dc:creator>Yanlan Zhang</dc:creator>
  <dc:creator>Wang Yongzhen</dc:creator>
  <dc:rights>EMBARGO</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by-nd/4.0</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:relation>http://www.doi.org/10.1016/S1872-5805(26)61075-X</dc:relation>
  <dc:publisher>Science Data Bank</dc:publisher>
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