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Published in 2021 at "ChemSusChem"
DOI: 10.1002/cssc.202100682
Abstract: Visible-light-induced C-H aerobic oxidation is a kind of important chemical transformations, which can be applied for the synthesis of aromatic ketones. High-cost catalysts and toxic solvents were generally needed in the present methodologies. Here, an…
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Keywords:
water;
visible light;
air;
selective air ... See more keywords
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Published in 2021 at "Journal of Molecular Liquids"
DOI: 10.1016/j.molliq.2021.116230
Abstract: Abstract In this paper, the adsorption properties of polyacrolein (PA-1) for congo red (CR) and acid blue 93 (AB93) dyes were studied. The effects of pH value, temperature, and contact time on the adsorption effect…
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Keywords:
driven selective;
selective adsorption;
concentration driven;
adsorption ... See more keywords
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Published in 2020 at "Journal of the American Chemical Society"
DOI: 10.1021/jacs.0c04499
Abstract: Reported herein is a general strategy for the photochemical cross-coupling between N-amidopyridinium salts and various alkyl bro-mides under photocatalyst-free conditions, granting facile access to various C4-alkylated pyridines. This approach exploits the intri-guing photochemical activity of…
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Keywords:
alkylation pyridinium;
selective alkylation;
visible light;
driven selective ... See more keywords
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Published in 2017 at "Nature chemistry"
DOI: 10.1038/nchem.2614
Abstract: The surface-assisted bottom-up fabrication of graphene nanoribbons (GNRs), which consists of the radical polymerization of precursors followed by dehydrogenation, has attracted attention because of the method's ability to control the edges and widths of the…
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Keywords:
graphene nanoribbons;
graphene;
polymerization driven;
driven selective ... See more keywords
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Published in 2017 at "IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems"
DOI: 10.1109/tcad.2017.2681075
Abstract: Machine-learning algorithms have shown outstanding image recognition/classification performance for computer vision applications. However, the compute and energy requirement for implementing such classifier models for large-scale problems is quite high. In this paper, we propose feature…
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Keywords:
classification;
energy;
feature driven;
driven selective ... See more keywords