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    <authors>
      <author>Maeda, Hayato</author>
      <author>Wu, Stephen</author>
      <author>Marui, Rika</author>
      <author>Yoshida, Erina</author>
      <author>Hatakeyama-Sato, Kan</author>
      <author>Nabae, Yuta</author>
      <author>Nakagawa, Shiori</author>
      <author>Ryu, Meguya</author>
      <author>Ishige, Ryohei</author>
      <author>Noguchi, Yoh</author>
      <author>Hayashi, Yoshihiro</author>
      <author>Ishii, Masashi</author>
      <author>Kuwajima, Isao</author>
      <author>Jiang, Felix</author>
      <author>Vu, Xuan Thang</author>
      <author>Ingebrandt, Sven</author>
      <author>Tokita, Masatoshi</author>
      <author>Morikawa, Junko</author>
      <author>Yoshida, Ryo</author>
      <author>Hayakawa, Teruaki</author>
    </authors>
    <subsidiary-authors>
      <author>612510</author>
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  <titles>
    <title>Discovery of liquid crystalline polymers with high thermal conductivity using machine learning</title>
    <secondary-title>npj computational materials</secondary-title>
  </titles>
  <periodical>
    <full-title>npj computational materials</full-title>
  </periodical>
  <publisher>Nature Publ. Group</publisher>
  <pub-location>London</pub-location>
  <isbn>2057-3960</isbn>
  <electronic-resource-num>10.1038/s41524-025-01671-w</electronic-resource-num>
  <language>English</language>
  <pages>205</pages>
  <number>1</number>
  <volume>11</volume>
  <abstract/>
  <notes/>
  <label>0, ; PUB:(DE-HGF)16, ; </label>
  <keywords/>
  <accession-num>WOS:001521875100003</accession-num>
  <work-type>Journal Article</work-type>
  <dates>
    <pub-dates>
      <year>2025</year>
    </pub-dates>
  </dates>
  <accession-num>RWTH-2025-06132</accession-num>
  <year>2025</year>
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      <url>https://publications.rwth-aachen.de/record/1014532</url>
      <url>https://doi.org/10.1038/s41524-025-01671-w</url>
      <url>&lt;Go to ISI&gt;://WOS:001521875100003</url>
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