Defective hBN-Supported Fe2N Single Cluster Catalyst for Active and Selective Electro-Reduction of Multiple CO to Propane: Theoretical Elucidation of Metal-Nonmetal Synergic Effects.
Sign Up to like & getrecommendations! Published in 2022 at "ACS applied materials & interfaces"
DOI: 10.1021/acsami.2c13154
Abstract: The present work introduces the multiple CO reduction toward C3 products promoted by a newly designed single cluster catalyst consisting of defective hBN and embedded dimerized Fe, by means of density functional theory calculations. We… read more here.
Keywords: metal nonmetal; cluster catalyst; single cluster; defective hbn ... See more keywords
Conductance Growth of Single-Cluster Junctions with Increasing Sizes.
Sign Up to like & getrecommendations! Published in 2022 at "Journal of the American Chemical Society"
DOI: 10.1021/jacs.2c05856
Abstract: Quantum-tunneling-based nanoelectronics has the potential for the miniaturization of electronics toward the sub-5 nm scale. However, the nature of phase-coherent quantum tunneling leads to the rapid decays of the electrical conductance with tunneling transport distance,… read more here.
Keywords: cluster junctions; conductance; single cluster; cluster ... See more keywords
Molecular engineering of Au25(SG)18 nanoclusters at the single cluster level to brighten their NIR-II fluorescence.
Sign Up to like & getrecommendations! Published in 2024 at "Nanoscale"
DOI: 10.1039/d4nr03047h
Abstract: Au25(SG)18 (SG: glutathione) nanoclusters, characterized by their atomically precise structures, exhibit near-infrared II (NIR-II) fluorescence emission and excellent biocompatibility, making them highly promising for imaging applications. However, their comparatively low photoluminescence quantum yield (QY) in… read more here.
Keywords: cluster level; au25 nanoclusters; nir fluorescence; single cluster ... See more keywords
Univariate Outlier Detection: Precision-Driven Algorithm for Single-Cluster Scenarios
Sign Up to like & getrecommendations! Published in 2024 at "Algorithms"
DOI: 10.3390/a17060259
Abstract: This study introduces a novel algorithm tailored for the precise detection of lower outliers (i.e., data points at the lower tail) in univariate datasets, which is particularly suited for scenarios with a single cluster and… read more here.
Keywords: detection; univariate outlier; precision; outlier detection ... See more keywords