Published in
American Chemical Society, Chemistry of Materials, 22(31), p. 9243-9255, 2019
DOI: 10.1021/acs.chemmater.9b02049
Links
Tools
Understanding X-ray Spectroscopy of Carbonaceous Materials by Combining Experiments, Density Functional Theory, and Machine Learning. Part I: Fingerprint Spectra
Journal article published in 2019 by
Anja Aarva 
,
Volker L. Deringer ,
Sami Sainio ,
Tomi Laurila ,
Miguel A. Caro
,
Volker L. Deringer ,
Sami Sainio ,
Tomi Laurila ,
Miguel A. Caro
This paper is made freely available by the publisher.
Full text: Download
Preprint: archiving allowed
- Must obtain written permission from Editor
- Must not violate ACS ethical Guidelines
Postprint:
archiving restricted
- Must obtain written permission from Editor
- Must not violate ACS ethical Guidelines
Published version:
archiving forbidden
Data provided by 