DOI: 10.1039/d6nr02576e ISSN: 2040-3364

Deep learning-assisted TEM image analysis for morphological characterization of molybdenum disulfide catalysts

M. Yu. Boiko, L. G. Mamyan, M. I. Knyazeva, A. L. Maximov

The morphology of molybdenum disulfide (MoS 2 ) plays a key role in its catalytic performance, as active sites are associated with the edges of its layered structure.

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