Institution
Pacific Northwest National Laboratory
Facility•Richland, Washington, United States•
About: Pacific Northwest National Laboratory is a facility organization based out in Richland, Washington, United States. It is known for research contribution in the topics: Catalysis & Aerosol. The organization has 11581 authors who have published 27934 publications receiving 1120489 citations. The organization is also known as: PNL & PNNL.
Topics: Catalysis, Aerosol, Mass spectrometry, Population, Ion
Papers published on a yearly basis
Papers
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TL;DR: In this article, a single-crystalline LiNi0.83Co0.11Mn0.06O2 (SC-NCM) with primary particles of 3-6-μm diameter is developed and comprehensively investigated, which exhibits superior cycling performance at both room temperature and elevated temperature (55 °C).
327 citations
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TL;DR: Observed lithiation behavior of silicon nanoparticles attached to and embedded in a carbon nanofiber using in situ TEM and continuum mechanical calculation provides insights on lithium ion transport in the network-structured composite of silicon and carbon.
Abstract: Rational design of silicon and carbon nanocomposite with a special topological feature has been demonstrated to be a feasible way for mitigating the capacity fading associated with the large volume change of silicon anode in lithium ion batteries. Although the lithiation behavior of silicon and carbon as individual components has been well understood, lithium ion transport behavior across a network of silicon and carbon is still lacking. In this paper, we probe the lithiation behavior of silicon nanoparticles attached to and embedded in a carbon nanofiber using in situ TEM and continuum mechanical calculation. We found that aggregated silicon nanoparticles show contact flattening upon initial lithiation, which is characteristically analogous to the classic sintering of powder particles by a neck-growth mechanism. As compared with the surface-attached silicon particles, particles embedded in the carbon matrix show delayed lithiation. Depending on the strength of the carbon matrix, lithiation of the embedde...
327 citations
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TL;DR: The MWRRET algorithm significantly provides more accurate retrievals than the original ARM statistical retrieval, which uses monthly retrieval coefficients, by combining the two retrieval methods with the application of brightness temperature offsets to reduce the spurious LWP bias in clear skies.
Abstract: Ground-based two-channel microwave radiometers (MWRs) have been used for over 15 years by the Atmospheric Radiation Measurement (ARM) program to provide observations of downwelling emitted radiance from which precipitable water vapor (PWV) and liquid water path (LWP) - two geophysical parameters critical for many areas of atmospheric research - are retrieved. An algorithm that incorporates output from two advanced retrieval techniques, namely, a physical-iterative approach and a computationally efficient statistical method, has been developed to retrieve these parameters. The forward model used in both methods is the monochromatic radiative transfer model MonoRTM. An important component of this MWR RETrieval (MWRRET) algorithm is the determination of small (< 1 K) offsets that are subtracted from the observed brightness temperatures before the retrievals are performed. Accounting for these offsets removes systematic biases from the observations and/or the model spectroscopy necessary for the retrieval, significantly reducing the systematic biases in the retrieved LWP. The MWRRET algorithm significantly provides more accurate retrievals than the original ARM statistical retrieval, which uses monthly retrieval coefficients. By combining the two retrieval methods with the application of brightness temperature offsets to reduce the spurious LWP bias in clear skies, the MWRRET algorithm significantly provides better retrievals of PWV and LWP from the ARM two-channel MWRs compared to the original ARM product.
327 citations
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TL;DR: In this article, carbon tetrachloride (CT) was dechlorinated to chloroform (CF) under anoxic conditions by Fe(II) that was sorbed to the surface of goethite (α-FeOOH).
Abstract: Carbon tetrachloride (CT) was dechlorinated to chloroform (CF) under anoxic conditions by Fe(II) that was sorbed to the surface of goethite (α-FeOOH). No reaction occurred when Fe(II) was present and goethite was absent. Several abiotic experiments were conducted with goethite at 30 °C in which the total amount of Fe(II) in the system, the amount of sorbed Fe(II), the density of sorbed Fe(II), and the pH were varied. Regeneration of sorbed Fe(II) occurred when dissolved Fe2+ was available and maintained pseudo-first-order conditions with respect to CT. Analysis of the rates of CT loss for experiments with sorbed-Fe(II) regeneration showed the rate-determining-step to be first order with respect to CT, second order with respect to the volumetric concentration of sorbed Fe(II) (i.e., mmol sorbed Fe(II) L-1 suspension), and zero order with respect to H+ for pH between 4.2 and 7.3. The absolute rate constant for the reaction was determined to be 42 ± 5 M-2 s-1. Normalization of the observed rate constants to ...
327 citations
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TL;DR: In this article, the long-term stability of anode-supported YSZ electrolyte SOFCs utilizing (La0.6Sr0.4)0.98Co0.2Fe0.8O3-? (LSCF-6428) cathodes was assessed.
Abstract: The long-term stability of anode-supported YSZ electrolyte SOFCs utilizing (La0.6Sr0.4)0.98Co0.2Fe0.8O3-? (LSCF-6428) cathodes was assessed. Samples tested for 500 hours at 750 C and 0.7V indicated ?50% degradation. While scanning electron microscopy (SEM) and energy dispersive x-ray (EDX) analysis indicated no obvious microstructural or chemical phenomena that could explain the high degradation, x-ray photon spectroscopy (XPS) revealed that enrichment of Sr at the cathode-electrolyte and cathode-current collector interfaces was at least partially responsible for the observed degradation.
327 citations
Authors
Showing all 11848 results
Name | H-index | Papers | Citations |
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Yi Cui | 220 | 1015 | 199725 |
Derek R. Lovley | 168 | 582 | 95315 |
Xiaoyuan Chen | 149 | 994 | 89870 |
Richard D. Smith | 140 | 1180 | 79758 |
Taeghwan Hyeon | 139 | 563 | 75814 |
Jun Liu | 138 | 616 | 77099 |
Federico Capasso | 134 | 1189 | 76957 |
Jillian F. Banfield | 127 | 562 | 60687 |
Mary M. Horowitz | 127 | 557 | 56539 |
Frederick R. Appelbaum | 127 | 677 | 66632 |
Matthew Jones | 125 | 1161 | 96909 |
Rainer Storb | 123 | 905 | 58780 |
Zhifeng Ren | 122 | 695 | 71212 |
Wei Chen | 122 | 1946 | 89460 |
Thomas E. Mallouk | 122 | 549 | 52593 |