Quantum Materials Field
Quantum Solid State Materials Group
We develop new materials and uncover novel functionalities, focusing on materials with significant quantum properties.
Group Leader: Kazunari Yamaura
Inversion Symmetry Breaking, Quantum Functional Emergence, and Dynamics
Current Topics
Machine Learning-Based Evaluation of Magnetic Interactions in KCu4P3O12 Verified by Neutron Scattering:
From experimental measurements of magnetic susceptibility and magnetization curves, we evaluated four types of magnetic interactions in KCu4P3O12 using data-driven techniques based on machine learning. To validate these values, we conducted neutron scattering experiments. The calculated magnetic excitation energies aligned with the experimental results, confirming that the machine learning approach accurately determines interaction values.
Assessing magnetic interactions is crucial for designing functional magnetic materials. Machine learning methods could serve as a powerful tool in this process.
Assessing magnetic interactions is crucial for designing functional magnetic materials. Machine learning methods could serve as a powerful tool in this process.
Fig. 1. Energy dependence of neutron inelastic scattering intensity for KCu4P3O12 powder. The incident neutron energy is 15.3 meV. The pink and blue ▲ symbols denote the calculated excitation energies from the ground state (GS) and first excited state (1ES), respectively. The horizontal bars indicate the instrumental resolution.
Outline of Research
Our primary goal is to develop new quantum materials, particularly those exhibiting broken inversion symmetry. We focus on transition metal oxides and quantum magnetic materials with inversion symmetry breaking, aiming to deepen our understanding and control of their unique properties. Additionally, we explore innovative nonlinear optical materials incorporating sulfur.
References
- M. Hase et al., Phys. Rev. B 109 , 094434 (2024). DOI: 10.1103/PhysRevB.109.094434
Group members
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Kazunari Yamaura・Group Leader -
Masashi Hase・Chief Researcher -
Alexei Belik・Chief Researcher -
Masamichi Nishino・Principal Researcher -
Yoshihiro Tsujimoto・Principal Researcher
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