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.
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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.