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Mapping XANES spectra on structural descriptors of copper oxide clusters using supervised machine learning
- 1.0510111 - ÚFCH JH 2020 RIV US eng J - Journal Article
Liu, Y. - Marcella, N. - Timoshenko, J. - Halder, A. - Yang, B. - Kolipaka, L. - Pellin, M. J. - Seifert, S. - Vajda, Štefan - Liu, P. - Frenkel, A. I.
Mapping XANES spectra on structural descriptors of copper oxide clusters using supervised machine learning.
Journal of Chemical Physics. Roč. 151, č. 16 (2019), č. článku 164201. ISSN 0021-9606. E-ISSN 1089-7690
EU Projects: European Commission(XE) 810310
Institutional support: RVO:61388955
Keywords : XANES spectra * Copper alloys * metal ions
OECD category: Physical chemistry
Impact factor: 2.991, year: 2019 ; AIS: 0.761, rok: 2019
Method of publishing: Limited access
DOI: https://doi.org/10.1063/1.5126597
Permanent Link: http://hdl.handle.net/11104/0300663File Download Size Commentary Version Access 0510111.pdf 1 2.6 MB open access Publisher’s postprint open-access
Number of the records: 1