Institution
United States Department of Energy
Government•Washington D.C., District of Columbia, United States•
About: United States Department of Energy is a government organization based out in Washington D.C., District of Columbia, United States. It is known for research contribution in the topics: Coal & Catalysis. The organization has 13656 authors who have published 14177 publications receiving 556962 citations. The organization is also known as: DOE & Department of Energy.
Topics: Coal, Catalysis, Combustion, Oxide, Hydrogen
Papers published on a yearly basis
Papers
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TL;DR: A highly integrated geochemical program was conducted at the Cranfield CO2enhanced oil recovery (EOR) and sequestration site, Mississippi, U.S.A. as mentioned in this paper.
173 citations
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TL;DR: In this article, internal standardization is employed to compensate for ionization suppression in inductively coupled plasma-mass spectrometry (ICP-MS) systems, and it is shown that an internal standard is most effective when it is close in mass and ionization energy to the analyte.
Abstract: Internal standardization is employed to compensate for ionization suppression in inductively coupled plasma-mass spectrometry (ICP-MS). By examination of the response of over 50 elements to a sodium matrix under different operating conditions, it is apparent that an internal standard is most effective when it is close in mass and ionization energy to the analyte. The extent of suppression and the relative order of suppression of various analyte elements can differ for various matrix elements. Generally, precision was improved by the use of internal standardization; the extent of improvement differed for different analyte elements and operating conditions. A comparison between ICP-MS with ultrasonic and pneumatic nebulization is described. The ultrasonic nebulizer usually exhibits better sensitivity and detection limits for analyte elements, unless the extent of suppression induced by the concomitant matrix is very high.
173 citations
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Hungarian Academy of Sciences1, Eötvös Loránd University2, Clark University3, University of Toronto4, University of Szeged5, Szent István University6, United States Department of Energy7, Landcare Research8, University of Paris9, San Francisco State University10, Naturalis11, University of Tennessee12, Polish Academy of Sciences13, American Museum of Natural History14, Finnish Environment Institute15, University of Buenos Aires16, Royal Botanic Gardens17, University of Oslo18, Utrecht University19, United States Forest Service20, University of Central Oklahoma21, University of Tartu22, University of Helsinki23, Russian Academy of Sciences24, Swedish Museum of Natural History25, Mendel University26, New York Botanical Garden27, University of California, Berkeley28, Institut national de la recherche agronomique29
TL;DR: A phylogenetic tree of 5,284 fungal species is used to infer ages and broad patterns of speciation/extinction, diversification and morphological innovation in mushroom-forming fungi.
Abstract: Mushroom-forming fungi (Agaricomycetes) have the greatest morphological diversity and complexity of any group of fungi. They have radiated into most niches and fulfil diverse roles in the ecosystem, including wood decomposers, pathogens or mycorrhizal mutualists. Despite the importance of mushroom-forming fungi, large-scale patterns of their evolutionary history are poorly known, in part due to the lack of a comprehensive and dated molecular phylogeny. Here, using multigene and genome-based data, we assemble a 5,284-species phylogenetic tree and infer ages and broad patterns of speciation/extinction and morphological innovation in mushroom-forming fungi. Agaricomycetes started a rapid class-wide radiation in the Jurassic, coinciding with the spread of (sub)tropical coniferous forests and a warming climate. A possible mass extinction, several clade-specific adaptive radiations and morphological diversification of fruiting bodies followed during the Cretaceous and the Paleogene, convergently giving rise to the classic toadstool morphology, with a cap, stalk and gills (pileate-stipitate morphology). This morphology is associated with increased rates of lineage diversification, suggesting it represents a key innovation in the evolution of mushroom-forming fungi. The increase in mushroom diversity started during the Mesozoic-Cenozoic radiation event, an era of humid climate when terrestrial communities dominated by gymnosperms and reptiles were also expanding.
172 citations
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TL;DR: This work reports the fabrication of nanosensors based on holey reduced graphene oxide (hRGO), which can be visualized as interconnected graphene nanoribbons and proposes that the increased edge-to-plane ratio, oxygen moieties, and Pt nanoparticle decoration were responsible for the observed gas sensing with hRGO nanostructures.
Abstract: Graphene is a novel two-dimensional nanomaterial that holds great potential in electronic and sensor applications. By etching the edges to form nanoribbons or introducing defects on the basal plane, it has been demonstrated that the physical and chemical properties of graphene can be drastically altered. However, the lithographic or chemical techniques required to reliably produce such nanoribbons remain challenging. Here, we report the fabrication of nanosensors based on holey reduced graphene oxide (hRGO), which can be visualized as interconnected graphene nanoribbons. In our method, enzymatic oxidation generated holes within the basal plane of graphene oxide, and after reduction with hydrazine, hRGO was formed. When decorated with Pt nanoparticles, hRGO exhibited a large and selective electronic response toward hydrogen gas. By combining experimental results and theoretical modeling, we propose that the increased edge-to-plane ratio, oxygen moieties, and Pt nanoparticle decoration were responsible for ...
172 citations
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Norwegian Meteorological Institute1, Langley Research Center2, Columbia University3, University of Oslo4, Goddard Space Flight Center5, Lawrence Berkeley National Laboratory6, Universities Space Research Association7, Pacific Northwest National Laboratory8, Geophysical Fluid Dynamics Laboratory9, Environment Canada10, United States Department of Energy11, Wageningen University and Research Centre12, Utrecht University13, University of Oxford14, Kyushu University15
TL;DR: In this article, the authors used the CALIOP (Cloud-Aerosol Lidar with Orthogonal Polarization) layer product for a multimodel evaluation of the vertical distribution of aerosols.
Abstract: The CALIOP (Cloud-Aerosol Lidar with Orthogonal Polarization) layer product is used for a multimodel evaluation of the vertical distribution of aerosols. Annual and seasonal aerosol extinction profiles are analyzed over 13 sub-continental regions representative of industrial, dust, and biomass burning pollution, from CALIOP 2007-2009 observations and from AeroCom (Aerosol Comparisons between Observations and Models) 2000 simulations. An extinction mean height diagnostic (Z-alpha) is defined to quantitatively assess the models' performance. It is calculated over the 0-6 km and 0-10 km altitude ranges by weighting the altitude of each 100 m altitude layer by its aerosol extinction coefficient. The mean extinction profiles derived from CALIOP layer products provide consistent regional and seasonal specificities and a low inter-annual variability. While the outputs from most models are significantly correlated with the observed Z-alpha climatologies, some do better than others, and 2 of the 12 models perform particularly well in all seasons. Over industrial and maritime regions, most models show higher Z-alpha than observed by CALIOP, whereas over the African and Chinese dust source regions, Z-alpha is underestimated during Northern Hemisphere Spring and Summer. The positive model bias in Z-alpha is mainly due to an overestimate of the extinction above 6 km. Potential CALIOP and model limitations, and methodological factors that might contribute to the differences are discussed.
172 citations
Authors
Showing all 13660 results
Name | H-index | Papers | Citations |
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Martin White | 196 | 2038 | 232387 |
Paul G. Richardson | 183 | 1533 | 155912 |
Jie Zhang | 178 | 4857 | 221720 |
Krzysztof Matyjaszewski | 169 | 1431 | 128585 |
Yang Gao | 168 | 2047 | 146301 |
David Eisenberg | 156 | 697 | 112460 |
Marvin Johnson | 149 | 1827 | 119520 |
Carlos Escobar | 148 | 1184 | 95346 |
Joshua A. Frieman | 144 | 609 | 109562 |
Paul Jackson | 141 | 1372 | 93464 |
Greg Landsberg | 141 | 1709 | 109814 |
J. Conway | 140 | 1692 | 105213 |
Pushpalatha C Bhat | 139 | 1587 | 105044 |
Julian Borrill | 139 | 387 | 102906 |
Cecilia Elena Gerber | 138 | 1727 | 106984 |