Regularized Recurrent Inference Machine: A Physics-Guided Approach for Solving Inverse Problems in Optical Spectroscopy

The proposed regularized recurrent inference machine (rRIM) effectively solves the challenging inverse problem of deriving the pairing glue function from measured optical spectra by incorporating physical principles into both training and inference, enabling noise robustness, flexibility with out-of-distribution data, and reduced data requirements.