scholarly journals Unsupervised Machine Learning for Unbiased Chemical Classification in X-ray Absorption Spectroscopy and X-ray Emission Spectroscopy

2021 ◽  
Author(s):  
Gerald Seidler ◽  
Samantha Tetef ◽  
Niranjan Govind
Keyword(s):  
Machine Learning ◽  
Absorption Spectroscopy ◽  
Emission Spectroscopy ◽  
Unsupervised Machine Learning ◽  
Chemical Classification ◽  
X Ray ◽  
X Ray Absorption

Unsupervised machine learning for unbiased chemical classification in X-ray absorption spectroscopy and X-ray emission spectroscopy

2021 ◽  
Author(s):  
Samantha Tetef ◽  
Niranjan Govind ◽  
Gerald T. Seidler
Keyword(s):  
Machine Learning ◽  
Absorption Spectroscopy ◽  
Emission Spectroscopy ◽  
Emission Spectra ◽  
Relevant Information ◽  
Unsupervised Machine Learning ◽  
Edge Structure ◽  
X Ray ◽  
X Ray Absorption

We utilize unsupervised machine learning to extract chemically relevant information in X-ray absorption near-edge structure (XANES) and in valence-to-core X-ray emission spectra (VtC-XES) for classification of an ensemble of sulphorganic molecules.

Site-Selective High-Resolution X-ray Absorption Spectroscopy and High-Resolution X-ray Emission Spectroscopy of Cobalt Nanoparticles

2014 ◽  
Vol 53 (16) ◽  
pp. 8367-8375 ◽  
Author(s):  
Timna-Josua Kühn ◽  
Josef Hormes ◽  
Nina Matoussevitch ◽  
Helmut Bönnemann ◽  
Pieter Glatzel
Keyword(s):  
High Resolution ◽  
Absorption Spectroscopy ◽  
Emission Spectroscopy ◽  
Cobalt Nanoparticles ◽  
X Ray ◽  
Site Selective ◽  
X Ray Absorption

Probing Active Sites in CuxPdy Cluster Catalysts by Machine-Learning-Assisted X-ray Absorption Spectroscopy

2021 ◽  
Author(s):  
Yang Liu ◽  
Avik Halder ◽  
Soenke Seifert ◽  
Nicholas Marcella ◽  
Stefan Vajda ◽  
...  
Keyword(s):  
Machine Learning ◽  
Absorption Spectroscopy ◽  
Active Sites ◽  
X Ray ◽  
X Ray Absorption
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