Towards autonomous analysis of Chemical Exchange Saturation Transfer 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/10.26434/chemrxiv-2021-r1cmw
Publication URI: http://dx.doi.org/10.26434/chemrxiv-2021-r1cmw
Type: Preprint