Infrared spectroscopy data- and physics-driven machine learning for characterizing surface microstructure of complex materials

Knowing compositional motifs of nanoparticle catalysts in operando conditions is crucial towards understanding their catalytic behavior. Here, the authors develop a physics-driven machine learning approach to predict adsorption sites for a CO molecule over platinum nanoparticles in a multitude of co...

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Autores principales: Joshua L. Lansford, Dionisios G. Vlachos
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2020
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Acceso en línea:https://doaj.org/article/6fd23d16dcac44afbf726b5db3d22040
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