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Title: Understanding X-ray Spectroscopy of Carbonaceous Materials by Combining Experiments, Density Functional Theory, and Machine Learning. Part I: Fingerprint Spectra

Authors:
ORCiD logo [1]; ORCiD logo [2]; ORCiD logo [3]; ORCiD logo [1]; ORCiD logo [4]
  1. Department of Electrical Engineering and Automation, School of Electrical Engineering, Aalto University, 02150 Espoo, Finland
  2. Department of Engineering, University of Cambridge, Cambridge CB2 1PZ, United Kingdom
  3. Stanford Synchrotron Radiation Lightsource, SLAC National Accelerator Laboratory, Menlo Park, California 94025, United States
  4. Department of Electrical Engineering and Automation, School of Electrical Engineering, Aalto University, 02150 Espoo, Finland; Department of Applied Physics, Aalto University, 02150 Espoo, Finland
Publication Date:
Research Org.:
Aalto Univ., Otaniemi (Finland); SLAC National Accelerator Lab., Menlo Park, CA (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Basic Energy Sciences (BES)
OSTI Identifier:
1575821
Alternate Identifier(s):
OSTI ID: 1575919; OSTI ID: 1596276
Grant/Contract Number:  
AC02-76SF00515; 310574; 285526; 730897
Resource Type:
Published Article
Journal Name:
Chemistry of Materials
Additional Journal Information:
Journal Name: Chemistry of Materials Journal Volume: 31 Journal Issue: 22; Journal ID: ISSN 0897-4756
Publisher:
American Chemical Society (ACS)
Country of Publication:
United States
Language:
English
Subject:
37 INORGANIC, ORGANIC, PHYSICAL, AND ANALYTICAL CHEMISTRY

Citation Formats

Aarva, Anja, Deringer, Volker L., Sainio, Sami, Laurila, Tomi, and Caro, Miguel A. Understanding X-ray Spectroscopy of Carbonaceous Materials by Combining Experiments, Density Functional Theory, and Machine Learning. Part I: Fingerprint Spectra. United States: N. p., 2019. Web. doi:10.1021/acs.chemmater.9b02049.
Aarva, Anja, Deringer, Volker L., Sainio, Sami, Laurila, Tomi, & Caro, Miguel A. Understanding X-ray Spectroscopy of Carbonaceous Materials by Combining Experiments, Density Functional Theory, and Machine Learning. Part I: Fingerprint Spectra. United States. https://doi.org/10.1021/acs.chemmater.9b02049
Aarva, Anja, Deringer, Volker L., Sainio, Sami, Laurila, Tomi, and Caro, Miguel A. Mon . "Understanding X-ray Spectroscopy of Carbonaceous Materials by Combining Experiments, Density Functional Theory, and Machine Learning. Part I: Fingerprint Spectra". United States. https://doi.org/10.1021/acs.chemmater.9b02049.
@article{osti_1575821,
title = {Understanding X-ray Spectroscopy of Carbonaceous Materials by Combining Experiments, Density Functional Theory, and Machine Learning. Part I: Fingerprint Spectra},
author = {Aarva, Anja and Deringer, Volker L. and Sainio, Sami and Laurila, Tomi and Caro, Miguel A.},
abstractNote = {},
doi = {10.1021/acs.chemmater.9b02049},
journal = {Chemistry of Materials},
number = 22,
volume = 31,
place = {United States},
year = {Mon Oct 28 00:00:00 EDT 2019},
month = {Mon Oct 28 00:00:00 EDT 2019}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record
https://doi.org/10.1021/acs.chemmater.9b02049

Citation Metrics:
Cited by: 43 works
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