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...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Publishing Group
2020-03-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-020-15340-7 |