Skip to main content
Browse
Browse and Search
Search
A Deep Neural Network for Valence-to-Core X-ray Emission Spectroscopy
Expand
https://doi.org/10.25405/data.ncl.20134520
Copy identifier URL to clipboard
Identifier Info
Cite
Download
(126.81 MB)
Share
Embed
dataset
posted on 2022-06-27, 10:34
authored by
Thomas Penfold
Thomas Penfold
,
Conor Rankine
<p>This data is used to extend our XANESNET deep neural network (DNN) to predict the lineshape of first-row transition metal K-edge valence-to-core X-ray emission (VtC-XES) spectra. </p>
History
UoA
Chemistry
Usage metrics
0
0
0
Categories
Computational chemistry
Keywords
X-ray Spectroscopy
Valence-to-Core Emission
Machine Learning
Deep Neural Networks
Uncertainty and Error
Transition Metals
Licence
CC BY 4.0
Exports
Select an option
RefWorks
RefWorks
BibTeX
BibTeX
Ref. manager
Ref. manager
Endnote
Endnote
DataCite
DataCite
NLM
NLM
DC
DC