A neural network trained on simulated vibrational spectra can estimate the identity and concentration of up to six coexisting substitutional defects, with limited experimental support from SiGe and MgB2.
Anomalous Neutron Nuclear-Magnetic Interference Spectroscopy
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abstract
The electron-phonon interaction plays a critical role in materials electrical, thermal, optical, and superconducting properties. However, measuring the phonon mode-resolved electron-phonon interaction has been challenging. Here we propose neutron-scattering-based Anomalous Neutron nUclear-Magnetic Interference Spectroscopy (ANUBIS), where the co-existence of neutron nuclear scattering and magnetic scattering leads to anomalous dynamical structure factor under the presence of the electron-phonon interaction. Such anomalous structure factor is linear in electron-phonon coupling constant at the phonon wavevector, and is directly proportional to the momentum and energy-resolved dielectric function. The experimental configuration can be achieved using existing polarized inelastic neutron scattering setup, and an order-of-magnitude estimate shows the viability to observe the anomalous scattering signal is around $10^{-4}$ to $10^{-3}$ relative to phonon scattering, which is achievable at emerging neutron facilities. Our proposal offers an alternative neutron-based metrology to probe the crucial electronic properties.
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cond-mat.mtrl-sci 1years
2025 1verdicts
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A Foundation Model for Non-Destructive Defect Identification from Vibrational Spectra
A neural network trained on simulated vibrational spectra can estimate the identity and concentration of up to six coexisting substitutional defects, with limited experimental support from SiGe and MgB2.