Fig. 4: The inference pipeline of the DLMC method.
From: Artificial intelligence enhanced two-dimensional nanoscale nuclear magnetic resonance spectroscopy
The trained DLNet is utilized to generate the reconstruction, followed by the classical matrix completion algorithm (MC) for post-processing of the reconstructed spectrum map to produce the final prediction. For clarity, the reconstructions of experiment data are demonstrated in the frequency domain.
