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      Highly efficient hydrogen production through ethanol photoreforming by a carbon nanocone/Pd@TiO2 hybrid catalyst

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          Abstract

          Production of molecular hydrogen (H 2) is becoming an increasingly prominent process, due to the high expectations as a new green energy carrier and key reagent for many industrial processes.

          Production of molecular hydrogen (H 2) is becoming an increasingly prominent process, due to high expectations as a new green energy carrier and key reagent for many industrial processes. Herein we report the high efficiency of H 2 production via photoreforming of ethanol using a catalyst based on hierarchical carbon nanocones hybridised with an inorganic layer of nanocrystalline TiO 2 containing Pd nanoparticles.

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          Is Open Access

          The Raman Fingerprint of Graphene

          Graphene is the two-dimensional (2d) building block for carbon allotropes of every other dimensionality. It can be stacked into 3d graphite, rolled into 1d nanotubes, or wrapped into 0d fullerenes. Its recent discovery in free state has finally provided the possibility to study experimentally its electronic and phonon properties. Here we show that graphene's electronic structure is uniquely captured in its Raman spectrum that clearly evolves with increasing number of layers. Raman fingerprints for single-, bi- and few-layer graphene reflect changes in the electronic structure and electron-phonon interactions and allow unambiguous, high-throughput, non-destructive identification of graphene layers, which is critically lacking in this emerging research area.
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            Raman spectrum of anatase, TiO2

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              Dispersion and packing of carbon nanotubes

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                Author and article information

                Journal
                CHCOFS
                Chemical Communications
                Chem. Commun.
                Royal Society of Chemistry (RSC)
                1359-7345
                1364-548X
                2016
                2016
                : 52
                : 4
                : 764-767
                Article
                10.1039/C5CC08015K
                a45e1ab3-eb87-4a8d-ae4f-a26fb56920c5
                © 2016
                History

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