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Random Forest Models for Accurate Identification of Coordination Environments from X-Ray Absorption Near-Edge Structure
Analyzing coordination environments using X-ray absorption spectroscopy has broad applications in solid-state physics and material chemistry. Here, we show that random forest models trained on 190,000 K-edge X-ray absorption near-edge structure (XANES) spectra can identify the main atomic coordinati...
Gardado en:
| Publicado en: | Patterns (N Y) |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Elsevier
2020
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7660409/ https://ncbi.nlm.nih.gov/pubmed/33205091 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.patter.2020.100013 |
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