IDEAS home Printed from https://ideas.repec.org/a/nat/nature/v581y2020i7806d10.1038_s41586-020-2230-z.html
   My bibliography  Save this article

Iron-based binary ferromagnets for transverse thermoelectric conversion

Author

Listed:
  • Akito Sakai

    (University of Tokyo
    University of Tokyo
    CREST, Japan Science and Technology Agency (JST))

  • Susumu Minami

    (Kanazawa University
    Center for Emergent Matter Science (CEMS), RIKEN)

  • Takashi Koretsune

    (Tohoku University)

  • Taishi Chen

    (University of Tokyo
    CREST, Japan Science and Technology Agency (JST))

  • Tomoya Higo

    (University of Tokyo
    CREST, Japan Science and Technology Agency (JST))

  • Yangming Wang

    (University of Tokyo)

  • Takuya Nomoto

    (University of Tokyo)

  • Motoaki Hirayama

    (Center for Emergent Matter Science (CEMS), RIKEN)

  • Shinji Miwa

    (University of Tokyo
    CREST, Japan Science and Technology Agency (JST)
    University of Tokyo)

  • Daisuke Nishio-Hamane

    (University of Tokyo)

  • Fumiyuki Ishii

    (Kanazawa University
    Center for Emergent Matter Science (CEMS), RIKEN)

  • Ryotaro Arita

    (CREST, Japan Science and Technology Agency (JST)
    Center for Emergent Matter Science (CEMS), RIKEN
    University of Tokyo)

  • Satoru Nakatsuji

    (University of Tokyo
    University of Tokyo
    CREST, Japan Science and Technology Agency (JST)
    University of Tokyo)

Abstract

Thermoelectric generation using the anomalous Nernst effect (ANE) has great potential for application in energy harvesting technology because the transverse geometry of the Nernst effect should enable efficient, large-area and flexible coverage of a heat source. For such applications to be viable, substantial improvements will be necessary not only for their performance but also for the associated material costs, safety and stability. In terms of the electronic structure, the anomalous Nernst effect (ANE) originates from the Berry curvature of the conduction electrons near the Fermi energy1,2. To design a large Berry curvature, several approaches have been considered using nodal points and lines in momentum space3–10. Here we perform a high-throughput computational search and find that 25 percent doping of aluminium and gallium in alpha iron, a naturally abundant and low-cost element, dramatically enhances the ANE by a factor of more than ten, reaching about 4 and 6 microvolts per kelvin at room temperature, respectively, close to the highest value reported so far. The comparison between experiment and theory indicates that the Fermi energy tuning to the nodal web—a flat band structure made of interconnected nodal lines—is the key for the strong enhancement in the transverse thermoelectric coefficient, reaching a value of about 5 amperes per kelvin per metre with a logarithmic temperature dependence. We have also succeeded in fabricating thin films that exhibit a large ANE at zero field, which could be suitable for designing low-cost, flexible microelectronic thermoelectric generators11–13.

Suggested Citation

  • Akito Sakai & Susumu Minami & Takashi Koretsune & Taishi Chen & Tomoya Higo & Yangming Wang & Takuya Nomoto & Motoaki Hirayama & Shinji Miwa & Daisuke Nishio-Hamane & Fumiyuki Ishii & Ryotaro Arita & , 2020. "Iron-based binary ferromagnets for transverse thermoelectric conversion," Nature, Nature, vol. 581(7806), pages 53-57, May.
  • Handle: RePEc:nat:nature:v:581:y:2020:i:7806:d:10.1038_s41586-020-2230-z
    DOI: 10.1038/s41586-020-2230-z
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41586-020-2230-z
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1038/s41586-020-2230-z?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Xitong Xu & Jia-Xin Yin & Wenlong Ma & Hung-Ju Tien & Xiao-Bin Qiang & P. V. Sreenivasa Reddy & Huibin Zhou & Jie Shen & Hai-Zhou Lu & Tay-Rong Chang & Zhe Qu & Shuang Jia, 2022. "Topological charge-entropy scaling in kagome Chern magnet TbMn6Sn6," Nature Communications, Nature, vol. 13(1), pages 1-7, December.
    2. Heda Zhang & Jahyun Koo & Chunqiang Xu & Milos Sretenovic & Binghai Yan & Xianglin Ke, 2022. "Exchange-biased topological transverse thermoelectric effects in a Kagome ferrimagnet," Nature Communications, Nature, vol. 13(1), pages 1-8, December.
    3. Hikari Manako & Shoya Ohsumi & Yoshiki J. Sato & R. Okazaki & D. Aoki, 2024. "Large transverse thermoelectric effect induced by the mixed-dimensionality of Fermi surfaces," Nature Communications, Nature, vol. 15(1), pages 1-8, December.
    4. Kohei Fujiwara & Yasuyuki Kato & Hitoshi Abe & Shun Noguchi & Junichi Shiogai & Yasuhiro Niwa & Hiroshi Kumigashira & Yukitoshi Motome & Atsushi Tsukazaki, 2023. "Berry curvature contributions of kagome-lattice fragments in amorphous Fe–Sn thin films," Nature Communications, Nature, vol. 14(1), pages 1-7, December.
    5. He Wang & Huili Ma & Nan Gan & Kai Qin & Zhicheng Song & Anqi Lv & Kai Wang & Wenpeng Ye & Xiaokang Yao & Chifeng Zhou & Xiao Wang & Zixing Zhou & Shilin Yang & Lirong Yang & Cuimei Bo & Huifang Shi &, 2024. "Abnormal thermally-stimulated dynamic organic phosphorescence," Nature Communications, Nature, vol. 15(1), pages 1-8, December.
    6. Ravi Gautam & Takamasa Hirai & Abdulkareem Alasli & Hosei Nagano & Tadakatsu Ohkubo & Ken-ichi Uchida & Hossein Sepehri-Amin, 2024. "Creation of flexible spin-caloritronic material with giant transverse thermoelectric conversion by nanostructure engineering," Nature Communications, Nature, vol. 15(1), pages 1-9, December.
    7. Bang, Ki Mun & Park, Sang J. & Yu, Hyun & Jin, Hyungyu, 2024. "Large transverse thermopower in shape-engineered tilted leg thermopile," Applied Energy, Elsevier, vol. 368(C).
    8. Jiafu Shen & Xi Huang & Yu Dai & Xiaojin Zhang & Fan Xia, 2024. "N-type and P-type series integrated hydrogel thermoelectric cells for low-grade heat harvesting," Nature Communications, Nature, vol. 15(1), pages 1-9, December.
    9. Luo, Yang & Li, Linlin & Chen, Yiping & Kim, Chang Nyung, 2022. "Influence of geometric parameter and contact resistances on the thermal-electric behavior of a segmented TEG," Energy, Elsevier, vol. 254(PC).

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:nature:v:581:y:2020:i:7806:d:10.1038_s41586-020-2230-z. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.