FID-Net: A Versatile Deep Neural Network Architecture for NMR Spectral Reconstruction and Virtual Decoupling (2020)

First Author: Karunanithy G

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.v2

Publication URI: http://dx.doi.org/10.26434/chemrxiv.13295888.v2

Type: Preprint