Virtual Homonuclear Decoupling in Direct Detection Nuclear Magnetic Resonance Experiments Using Deep Neural Networks. (2021)
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/10.1021/jacs.1c04010
PubMed Identifier: 34633815
Publication URI: http://europepmc.org/abstract/MED/34633815
Type: Journal Article/Review
Volume: 143
Parent Publication: Journal of the American Chemical Society
Issue: 41
ISSN: 0002-7863