Browsing by Author "Zhao, L."
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- ItemAverages of shifted convolutions of d3(n)(Oberwolfach : Mathematisches Forschungsinstitut Oberwolfach, 2011) Baier, S.; Browning, T.D.; Marasingha, G.; Zhao, L.We investigate the first and second moments of shifted convolutions of the generalised divisor function d3(n).
- ItemDirect chemical vapor deposition synthesis of large area single-layer brominated graphene(Cambridge : Royal Society of Chemistry, 2019) Hasan, M.; Meiou, W.; Yulian, L.; Ullah, S.; Ta, H.Q.; Zhao, L.; Mendes, R.G.; Malik, Z.P.; Ahmad, N.M.; Liu, Z.; Rümmeli, M.H.Graphene and its derivatives such as functionalized graphene are considered to hold significant promise in numerous applications. Within that context, halogen functionalization is exciting for radical and nucleophilic substitution reactions as well as for the grafting of organic moieties. Historically, the successful covalent doping of sp2 carbon with halogens, such as bromine, was demonstrated with carbon nanotubes. However, the direct synthesis of brominated graphene has thus far remained elusive. In this study we show how large area brominated graphene with C-Br bonds can be achieved directly (i.e. a single step) using hydrogen rich low pressure chemical vapor deposition. The direct synthesis of brominated graphene could lead to practical developments. © The Royal Society of Chemistry.
- ItemWeb-based access, aggregation, and visualization of future climate projections with emphasis on agricultural assessments(Amsterdam : Elsevier B.V., 2018) Villoria, N.B.; Elliott, J.; Müller, C.; Shin, J.; Zhao, L.; Song, C.Access to climate and spatial datasets by non-specialists is restricted by technical barriers involving hardware, software and data formats. We discuss an open-source online tool that facilitates downloading the climate data from the global circulation models used by the Inter-Sectoral Impacts Model Intercomparison Project. The tool also offers temporal and spatial aggregation capabilities for incorporating future climate scenarios in applications where spatial aggregation is important. We hope that streamlined access to these data facilitates analysis of climate related issues while considering the uncertainties derived from future climate projections and temporal aggregation choices.