DFT calculations predict nuclear magnetic fields in battery materials, revealing cation diffusion behavior.
Internal nuclear magnetic fields in various battery materials have been predicted using density functional theory (DFT) calculations to interpret the μ+SR results, particularly for identifying the diffusing species responsible for the dynamic behavior observed. In materials where Li+ and Na+ ions are mobile, these cations readily change positions to minimize electrostatic repulsion with the implanted μ+. As a result, the μ+ sits at the bottom of a deep potential well, stabilizing itself through a "self-trapping″ effect, making it a stable observer for detecting ion diffusion in battery materials. In contrast, in many metals and oxides, the implanted μ+ diffuses even at low temperatures. In these materials, the local lattice distortion caused by the implanted μ+ is relatively small compared to that in battery materials. To assess the stability of the implanted μ+, we propose a ratio between the measured nuclear magnetic field distribution width (Δexp) and the DFT-predicted value without lattice relaxation (Δmin), namely, Δexp/Δmin, as an indicator of whether cations or μ+ are diffusing. This indicator provides a comprehensive understanding of the diffusive behavior detected with μ+SR in various materials, including battery materials, metals, and other oxides.
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Ohta et al. (2025) studied this question.
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