Understanding X-ray Spectroscopy of Carbonaceous Materials by Combining Experiments, Density Functional Theory, and Machine Learning. Part II: Quantitative Fitting of Spectra
Journal Article
·
· Chemistry of Materials
[1];
[2];
[3];
[1];
[4]
- Department of Electrical Engineering and Automation, School of Electrical Engineering, Aalto University, 02150 Espoo, Finland
- Department of Engineering, University of Cambridge, Cambridge CB2 1PZ, United Kingdom
- Stanford Synchrotron Radiation Lightsource, SLAC National Accelerator Laboratory, Menlo Park, California 94025, United States
- Department of Electrical Engineering and Automation, School of Electrical Engineering, Aalto University, 02150 Espoo, Finland, Department of Applied Physics, Aalto University, 02150 Espoo, Finland
Not Available
- Sponsoring Organization:
- USDOE
- Grant/Contract Number:
- AC02-76SF00515
- OSTI ID:
- 1575819
- Journal Information:
- Chemistry of Materials, Journal Name: Chemistry of Materials Journal Issue: 22 Vol. 31; ISSN 0897-4756
- Publisher:
- American Chemical SocietyCopyright Statement
- Country of Publication:
- United States
- Language:
- English
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