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Tomographic reconstruction of oxygen orbitals in lithium-rich battery materials

Author

Listed:
  • Hasnain Hafiz

    (Carnegie Mellon University
    Los Alamos National Laboratory)

  • Kosuke Suzuki

    (Gunma University)

  • Bernardo Barbiellini

    (LUT University
    Northeastern University)

  • Naruki Tsuji

    (Japan Synchrotron Radiation Research Institute (JASRI))

  • Naoaki Yabuuchi

    (Yokohama National University)

  • Kentaro Yamamoto

    (Kyoto University)

  • Yuki Orikasa

    (Ritsumeikan University)

  • Yoshiharu Uchimoto

    (Kyoto University)

  • Yoshiharu Sakurai

    (Japan Synchrotron Radiation Research Institute (JASRI))

  • Hiroshi Sakurai

    (Gunma University)

  • Arun Bansil

    (Northeastern University)

  • Venkatasubramanian Viswanathan

    (Carnegie Mellon University
    Carnegie Mellon University)

Abstract

The electrification of heavy-duty transport and aviation will require new strategies to increase the energy density of electrode materials1,2. The use of anionic redox represents one possible approach to meeting this ambitious target. However, questions remain regarding the validity of the O2−/O− oxygen redox paradigm, and alternative explanations for the origin of the anionic capacity have been proposed3, because the electronic orbitals associated with redox reactions cannot be measured by standard experiments. Here, using high-energy X-ray Compton measurements together with first-principles modelling, we show how the electronic orbital that lies at the heart of the reversible and stable anionic redox activity can be imaged and visualized, and its character and symmetry determined. We find that differential changes in the Compton profile with lithium-ion concentration are sensitive to the phase of the electronic wave function, and carry signatures of electrostatic and covalent bonding effects4. Our study not only provides a picture of the workings of a lithium-rich battery at the atomic scale, but also suggests pathways to improving existing battery materials and designing new ones.

Suggested Citation

  • Hasnain Hafiz & Kosuke Suzuki & Bernardo Barbiellini & Naruki Tsuji & Naoaki Yabuuchi & Kentaro Yamamoto & Yuki Orikasa & Yoshiharu Uchimoto & Yoshiharu Sakurai & Hiroshi Sakurai & Arun Bansil & Venka, 2021. "Tomographic reconstruction of oxygen orbitals in lithium-rich battery materials," Nature, Nature, vol. 594(7862), pages 213-216, June.
  • Handle: RePEc:nat:nature:v:594:y:2021:i:7862:d:10.1038_s41586-021-03509-z
    DOI: 10.1038/s41586-021-03509-z
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    Cited by:

    1. Biao Wang & Qingwang Liu & Zhenzhong Fan & Ting Liang & Qilei Tong & Yuanfeng Fu, 2021. "Fabrication of PDMS/GA Composite Materials by Pickering Emulsion Method and Its Application for Oil-Water Separation," Energies, MDPI, vol. 14(17), pages 1-10, August.
    2. Zhao, Jingyuan & Feng, Xuning & Wang, Junbin & Lian, Yubo & Ouyang, Minggao & Burke, Andrew F., 2023. "Battery fault diagnosis and failure prognosis for electric vehicles using spatio-temporal transformer networks," Applied Energy, Elsevier, vol. 352(C).

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