Machine learning approaches for ELNES/XANES.
Microscopy(2020)
摘要
Materials characterization is indispensable for materials development. In particular, spectroscopy provides atomic configuration, chemical bonding and vibrational information, which are crucial for understanding the mechanism underlying the functions of a material. Despite its importance, the interpretation of spectra using human-driven methods, such as manual comparison of experimental spectra wi...
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关键词
machine learning,ELNES,XANES,first principles simulation
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