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Unsupervised machine learning for unbiased chemical classification in X-ray absorption spectroscopy and X-ray emission spectroscopy

Samantha Tetef, Niranjan Govind, Gerald T. Seidler

2021Physical Chemistry Chemical Physics53 citationsDOIOpen Access PDF

Abstract

, the ability to reliably classify without user bias and to discover unexpected chemical signatures for XANES and VtC-XES, likely generalize to other systems as well as to other one-dimensional chemical spectroscopies.

Topics & Concepts

XANESArtificial intelligenceAutoencoderValence (chemistry)Unsupervised learningSpectroscopyChemistryPrincipal component analysisEmbeddingMachine learningSpectral linePattern recognition (psychology)Computer scienceArtificial neural networkPhysicsOrganic chemistryAstronomyQuantum mechanicsMachine Learning in Materials ScienceComputational Drug Discovery MethodsX-ray Spectroscopy and Fluorescence Analysis
Unsupervised machine learning for unbiased chemical classification in X-ray absorption spectroscopy and X-ray emission spectroscopy | Litcius