Data from Understanding X-ray spectroscopy of carbonaceous materials by combining experiments, density functional theory and machine learning. Parts I and II.

Anja Aarva (Creator)

Dataset

2 Article

2 results

Filter

2019
Understanding X-ray Spectroscopy of Carbonaceous Materials by Combining Experiments, Density Functional Theory, and Machine Learning. Part I: Fingerprint Spectra
Aarva, A., Deringer, V. L., Sainio, S., Laurila, T. & Caro, M. A., 26 Nov 2019, In: Chemistry of Materials. 31, 22, p. 9243-9255 13 p.
Research output: Contribution to journal › Article › Scientific › peer-review

Open Access
File
97 Citations (Scopus)

178 Downloads (Pure)
Understanding X-ray Spectroscopy of Carbonaceous Materials by Combining Experiments, Density Functional Theory, and Machine Learning. Part II: Quantitative Fitting of Spectra
Aarva, A., Deringer, V. L., Sainio, S., Laurila, T. & Caro, M. A., 26 Nov 2019, In: Chemistry of Materials. 31, 22, p. 9256-9267 12 p.
Research output: Contribution to journal › Article › Scientific › peer-review

Open Access
File
70 Citations (Scopus)

229 Downloads (Pure)