Quantum Materials Field
Neuromorphic Devices Group

We create neuromorphic devices deriving efficient information processing capacity from various dynamical behaviors of materials.

Group Leader: Takashi Tsuchiya

High-performance neuromorphic computing using spatiotemporal dynamics of information carriers in materials

Current Topics

While industrial applications of machine learning are advancing, we recognize the serious social problems they pose, such as enormous power consumption, data traffic, and processing delays. Inspired by the highly efficient information processing mechanisms of biological brains and nervous systems, we develop neuromorphic devices that utilize the spatiotemporal dynamics of various information carriers, such as ions, molecules, and spin in materials, as computational resources in frameworks of brain-inspired computing including physical reservoir computing. This approach contributes to realizing low-power and high-performance AI electronics, a significant step forward to Society 5.0.

Outline of Research

We are developing new principle devices that efficiently process information by utilizing the behavior of ions, molecules, and electrons in various micro/nanoregions, such as interfaces and surfaces formed by ionic conductors, semiconductors, and metals, and low-dimensional materials, to generate nonlinearity and high dimensionality similar to the human brain. Our research also focuses on developing ultrafast brain-inspired computing devices that utilize the chaotic spatiotemporal behavior of spin waves (magnon) in magnets.
Fig. 1. Neuromorphic devices utilizing sapatiotemporal dynamics of information carriers in materials.

References

  1. D. Nishioka, Y. Shingaya, T. Tsuchiya, T. Higuchi, K. Terabe, Science Advances 10 , eadk6438 (2024). DOI: 10.1126/sciadv.adk6438
  2. W. Namiki, D. Nishioka, T. Tsuchiya, T. Higuchi, K. Terabe, Nano Letters 24 , 4383-4392 (2024). DOI: 10.1021/acs.nanolett.3c05029
  3. W. Namiki, D. Nishioka, Y. Nomura, T. Tsuchiya, K. Yamamoto, K. Terabe, Advanced Science 12 , 2411777 (2025). DOI: 10.1002/advs.202411777
  4. W. Namiki, Y. Yamaguchi, D. Nishioka, T. Tsuchiya, K. Terabe, Materials Today Physics 45 , 101465 (2024). DOI: 10.1016/j.mtphys.2024.101465

Group members

  • Profile image
    Takashi Tsuchiya
    ・Group Leader
  • Profile image
    Yoshitaka Shingaya
    ・Senior Researcher

Activities

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