Prediction of the Cu oxidation state from EELS and XAS spectra using supervised machine learning
Abstract Electron energy loss spectroscopy (EELS) and X-ray absorption spectroscopy (XAS) provide detailed information about bonding, distributions and locations of atoms, and their coordination numbers and oxidation states. However, analysis of XAS/EELS data often relies on matching an unknown expe...
| Những tác giả chính: | , , |
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| Định dạng: | Bài viết |
| Ngôn ngữ: | English |
| Được phát hành: |
Nature Portfolio
2024-09-01
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| Loạt: | npj Computational Materials |
| Truy cập trực tuyến: | https://doi.org/10.1038/s41524-024-01408-1 |