FID-Net: A Versatile Deep Neural Network Architecture for NMR Spectral Reconstruction and Virtual Decoupling (2020)
Attributed to:
Developing Artificial Intelligence and Deep Learning for the analysis of correlation spectroscopy data
funded by
BBSRC
Abstract
No abstract provided
Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.26434/chemrxiv.13295888.v1
Publication URI: http://dx.doi.org/10.26434/chemrxiv.13295888.v1
Type: Preprint