Academic literature on the topic 'Bulk density'

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Journal articles on the topic "Bulk density"

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Jakub, Lev, and Kumhála František. "Dielectric properties of hops – an effect of bulk density." Research in Agricultural Engineering 63, Special Issue (2017): S18—S23. http://dx.doi.org/10.17221/34/2017-rae.

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Continuous detection of basic physical properties of freshly picked and cleaned wet hop cones would be very helpful for better control and automation of harvesting processes. That is why the main aim of this article was to determine the effects of bulk density changes on dielectric properties of freshly picked hop cones. Relative permittivity and loss factor were measured using a newly developed capacitance measuring device. A strong linear correlation between fresh hops relative permittivity and bulk density was found. This finding could be used e.g. for consequent hop drying process control. Significant differences between tested hop varieties were observed for both relative permittivity and loss factor measurements. These differences cannot be explained only by a slightly different moisture content of the measured varieties and ambient temperature changes. Measured material loss factor was only slightly affected by bulk density changes. However, relative permittivity was affected by bulk density changes significantly. These facts could be used for other properties of wet hop cones estimation.
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Franzini, Marco, and Marco Lezzerini. "A mercury-displacement method for stone bulk-density determinations." European Journal of Mineralogy 15, no. 1 (2003): 225–29. http://dx.doi.org/10.1127/0935-1221/2003/0015-0225.

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Zou, Guangui, Hu Zeng, Suping Peng, Xiaoyu Zhou, and Sandugash Satibekova. "Bulk density and bulk modulus of adsorbed coalbed methane." GEOPHYSICS 84, no. 2 (2019): K11—K21. http://dx.doi.org/10.1190/geo2018-0081.1.

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The bulk density and bulk modulus of adsorbed coalbed methane are required to calculate the undrained bulk and shear moduli as well as the fluid-saturated density of the coal reservoir. We derived the formula for the bulk modulus and bulk density of adsorbed methane using the Langmuir equation for isothermal adsorption. The bulk density of adsorbed methane is positively correlated with the gas pressure and Langmuir volume, but it is negatively correlated with the Langmuir pressure and adsorbed methane saturation. The bulk density of adsorbed methane is greater than that of free-state methane for the same gas pressure. The bulk modulus of adsorbed methane is positively correlated with the gas pressure and negatively correlated with the Langmuir pressure; it is much larger than that of free methane, but it is still much smaller than that of water within the normal gas pressure range. Coal samples from the study area demonstrate that the water saturation is less than 95%. Considering adsorbed methane as a pseudosolid, calculations yield a very small difference in the bulk modulus of coal under room-dry conditions. Considering adsorbed methane as a gas, calculations based on spatially uniform or patchy saturation indicate that multiphase fluid saturation produces a very small difference in the elastic parameters and wave velocity of the fluid-saturated coal from the dual-phase fluid (water and free methane).
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Kikwaya, J. B., M. Campbell-Brown, and P. G. Brown. "Bulk density of small meteoroids." Astronomy & Astrophysics 530 (May 20, 2011): A113. http://dx.doi.org/10.1051/0004-6361/201116431.

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A. P. Milani, R. A. Bucklin, A. A. Teixeira, and H. V. Kebeli. "SOYBEAN COMPRESSIBILITY AND BULK DENSITY." Transactions of the ASAE 43, no. 6 (2000): 1789–93. http://dx.doi.org/10.13031/2013.3082.

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Lamura, G., M. Aurino, G. Cifariello, et al. "Superfluid density of bulk CaC6." Physica C: Superconductivity and its Applications 460-462 (September 2007): 714–15. http://dx.doi.org/10.1016/j.physc.2007.03.387.

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Plachy, Jan, Vít Petranek, Karel Šuhajda, et al. "Bulk Density of Bitumen Sheets." Advanced Materials Research 712-715 (June 2013): 970–73. http://dx.doi.org/10.4028/www.scientific.net/amr.712-715.970.

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This article deals with determination of bulk density of bitumen waterproofing sheets using different methods, namely calculation and experimental measurement. Volume density actually well reflects bitumen sheet composition. Composition of bitumen sheet is the factor that influences the hydro insulation function.
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Krychkov, Yu N. "Bulk density of powder materials." Glass and Ceramics 54, no. 5-6 (1997): 157–58. http://dx.doi.org/10.1007/bf02767940.

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Kryuchkov, Yu N. "Bulk density of monodisperse materials." Refractories and Industrial Ceramics 38, no. 7-8 (1997): 272–73. http://dx.doi.org/10.1007/bf02768028.

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Hong, Soon Jik, Jong Keuk Lee, Min Ku Lee, Wheung Whoe Kim, and Chang Kyu Rhee. "Consolidation of Al2O3 Nanopowder by Magnetic Pulsed Compaction and Sintering." Solid State Phenomena 118 (December 2006): 615–22. http://dx.doi.org/10.4028/www.scientific.net/ssp.118.615.

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The effect of MPC pressure on the density, microstructure, mechanical properties, and electrical property of MPCed and sintered bulk was investigated. A detail characterization of the MPCed and sintered bulk has been performed using XRD, SEM, TEM, Vickers hardness tester, and breakdown voltage tester. The alumina powder used in this research has a size of 50-200 nm, a smooth surface and elliptical shape. The obtained density of MPCed and sintered bulk is increased with increasing MPC pressure from 0.5 to 1.25 GPa. The highest density of 92% in this research is obtained in the MPCed at 1.25 GPa and sintered bulk, while it is 90 % in the MPCed at 0.5 GPa. The different Vickers hardness with MPC pressure is associated with the different density and grain size of bulks. The maximum breakdown voltage of 47 kV/cm is achieved in the bulk MPCed at 1.25 GPa due to the higher density than that of others. In addition, the fracture mechanism of MPCed and sintered bulk is discussed.
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Dissertations / Theses on the topic "Bulk density"

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Liu, Chang Materials Science &amp Engineering Faculty of Science UNSW. "Bulk density and angle of repose of coal." Awarded by:University of New South Wales. Materials Science & Engineering, 2007. http://handle.unsw.edu.au/1959.4/40495.

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This thesis reports a study on the effects of size distribution, moisture content and oil addition on bulk density and angle of repose of coal. The experimental work includes four stages. The first stage is to develop reliable experimental techniques. The results confirm that ASTM cubic foot test is reliable for measurement of bulk density and angle of repose if properly operated, although the latter is better measured in a piling process. Stages 2 and 3 are to investigate the effects of size distribution by using -3.55mm% for stage 2 and mean size do.s for stage 3, water content and oil addition on bulk density and angle of repose of coal. For each of them, empirical equations are formulated to predict bulk density and angle of repose. The results indicate that the fraction -3.55mm cutting size in stage 2 does not affect bulk density significantly, while the increase of do.s decreases bulk density to a minimum and then increases. Particle size distribution does not affect angle of repose much. The increase of moisture content decreases bulk density and increases angle of repose significantly. The increase of oil addition increases bulk density while decreases angle of repose significantly. The correlation between bulk density and angle of repose can also be observed: the higher bulk density, the lower angle of repose. There are other variables affecting bulk density and angle of repose. They include oil type, absorption time discharging height and external loading. Their effects on bulk density and angle of repose are quantified in stage 4. The results suggest that, a higher discharging position or larger external loading increase bulk density significantly. Angle of repose decreases when increase the height of discharging position. Diesel oil performed better than waste oil addition in terms of bulk density enhancement. For most of the cases examined, bulk density and angle of repose become stable after ~24 hours oil absorption time.
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Price, Philip. "Comparison of Soil Bulk Density After Poultry Litter Application." TopSCHOLAR®, 2007. http://digitalcommons.wku.edu/theses/416.

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During the Spring and Fall of 2006, a study was conducted at the Agricultural Research and Education Complex of Western Kentucky University to monitor the effects of poultry litter application on soil bulk density. A randomized split block design was used for this study. The soil was a Crider silt loam (Typic Paleudalf). Poultry litter treatments were compared with inorganic fertilizers. The same basic fertility treatments were applied in this study from 2001-2006. Those treatments consisted of poultry litter applied at the nitrogen rate (NPL), poultry litter applied at the phosphorus rate only (PPL), poultry litter applied at the phosphorus rate with supplemental inorganic nitrogen (NPPL), and inorganic fertilizer (I). Two soil cores, to a depth of 10 cm were collected from each plot March 22, June 14 and October 30, 2006. Average bulk density for each plot was determined by the two cores being weighed and divided by volume for each sampling date and then averaged. Statistical analysis from this study indicated that there were no differences, based on fertility treatment, within each sampling date. However, there was a statistical difference between sampling dates, with October being higher than March and June. This difference may have been due to soil compaction caused by litter and fertilizer application equipment.
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Sahu, Laxmi Kumari D'Souza Nandika Anne. "Bulk and interfacial effects on density in polymer nanocomposites." [Denton, Tex.] : University of North Texas, 2007. http://digital.library.unt.edu/permalink/meta-dc-3619.

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Sahu, Laxmi Kumari. "Bulk and Interfacial Effects on Density in Polymer Nanocomposites." Thesis, University of North Texas, 2007. https://digital.library.unt.edu/ark:/67531/metadc3619/.

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The barrier properties of polymers are a significant factor in determining the shelf or device lifetime in polymer packaging. Nanocomposites developed from the dispersion of nanometer thick platelets into a host polymer matrix have shown much promise. The magnitude of the benefit on permeability has been different depending on the polymer investigated or the degree of dispersion of the platelet in the polymer. In this dissertation, the effect of density changes in the bulk and at the polymer-platelet interface on permeability of polymer nanocomposites is investigated. Nanocomposites of nylon, PET, and PEN were processed by extrusion. Montmorillonite layered silicate (MLS) in a range of concentrations from 1 to 5% was blended with all three resins. Dispersion of the MLS in the matrix was investigated by using one or a combination of X-ray diffraction (XRD), scanning electron microscopy (SEM) and transmission electron microscopy (TEM). Variation in bulk density via crystallization was analyzed using differential scanning calorimetry (DSC) and polarized optical microscopy. Interfacial densification was investigated using force modulation atomic force microscopy (AFM) and ellipsometry. Mechanical properties are reported. Permeability of all films was measured in an in-house built permeability measurement system. The effect of polymer orientation and induced defects on permeability was investigated using biaxially stretched, small and large cycle fatigue samples of PET and nylon nanocomposites. The effect of annealing in nylon and nanocomposites was also investigated. The measured permeability was compared to predicted permeability by considering the MLS as an ideal dispersion and the matrix as a system with concentration dependent crystallinity.
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Valenzuela, Wilfredo. "Variability in the determination of bulk and maximum density of hot mix asphalt." Thesis, Curtin University, 2011. http://hdl.handle.net/20.500.11937/2264.

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Roads are a vital link, in particular in a country like Australia where distances are extensive. Western Australia is no exception, with Main Roads, Western Australia„s State road authority, managing more than 17,800 kilometres of highways and state roads with a large local government road network of almost 164,000 kilometres (Main Roads Western Australia 2011). For quality control measures, Main Roads Western Australia (MRWA) requires quantification of the variability of test methods to establish accepted parameters, and minimum and maximum air voids for the construction of dense-graded hot mix asphalt concrete. This is done to ensure correct design and quality control of the pavement, and to avoid the prospect of distress that could affect the expected service-life of the hot mix. Western Australia currently uses the Marshall method for hot mix asphalt design which is proven in the production of quality hot mix asphalt and from which long lasting pavement can be constructed. This method has been in use around the world for over 60 years.High quality and specific percentages of aggregates are then required for the durability and quality of the road. Therefore, the accuracy of the measurements of asphalt density hence the results are essential for the acceptance of the product. Payments are dependent on whether or not a certain asphalt density quality has been achieved. One form to measure this quality is by testing the volumetric properties of asphalt. However, it has been noticed in previous results that a high percentage of variability in the bulk and maximum density of the hot mix are present. This variability as a result have produced one of the major concerns in the asphalt hot mix industry, this is having a reliable density determination of compacted hot mix samples.Consequently, this research aimed to examine the possible cause/s of the differences in density determination of dense-graded hot mix asphalt concrete. This translated into a thorough evaluation of previous test results, performed through proficiency and inter-laboratory testing. Investigation and evaluation of the current methods specifically focused on temperature testing and the testing and analysis of the possible causes of variability in the determination of bulk density. Extensive testing was conducted, using MRWA standard methods to measure asphalt density. This involved observing and replicating the methodology established for standard methods. There was a modification to the method for the determination of maximum density and this will be discussed in the report. These factors were considered to be crucial in order to make a significant contribution to promoting and improving standardisation across the industry, and to ensure reliability and consistency in the determination of asphalt density, both bulk and maximum.
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Taalab, Khaled Paul. "Modelling soil bulk density using data-mining and expert knowledge." Thesis, Cranfield University, 2013. http://dspace.lib.cranfield.ac.uk/handle/1826/8273.

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Data about the spatial variation of soil attributes is required to address a great number of environmental issues, such as improving water quality, flood mitigation, and determining the effects of the terrestrial carbon cycle. The need for a continuum of soils data is problematic, as it is only possible to observe soil attributes at a limited number of locations, beyond which, prediction is required. There is, however, disparity between the way in which much of the existing information about soil is recorded and the format in which the data is required. There are two primary methods of representing the variation in soil properties, as a set of distinct classes or as a continuum. The former is how the variation in soils has been recorded historically by the soil survey, whereas the latter is how soils data is typically required. One solution to this issue is to use a soil-landscape modelling approach which relates the soil to the wider landscape (including topography, land-use, geology and climatic conditions) using a statistical model. In this study, the soil-landscape modelling approach has been applied to the prediction of soil bulk density (Db). The original contribution to knowledge of the study is demonstrating that producing a continuous surface of Db using a soil-landscape modelling approach is that a viable alternative to the ‘classification’ approach which is most frequently used. The benefit of this method is shown in relation to the prediction of soil carbon stocks, which can be predicted more accurately and with less uncertainty. The second part of this study concerns the inclusion of expert knowledge within the soil-landscape modelling approach. The statistical modelling approaches used to predict Db are data driven, hence it is difficult to interpret the processes which the model represents. In this study, expert knowledge is used to predict Db within a Bayesian network modelling framework, which structures knowledge in terms of probability. This approach creates models which can be more easily interpreted and consequently facilitate knowledge discovery, it also provides a method for expert knowledge to be used as a proxy for empirical data. The contribution to knowledge of this section of the study is twofold, firstly, that Bayesian networks can be used as tools for data-mining to predict a continuous soil attribute such as Db and that in lieu of data, expert knowledge can be used to accurately predict landscape-scale trends in the variation of Db using a Bayesian modelling approach.
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Meredith, Kelly Robyn. "The Influence of Soil Reconstruction Methods on Mineral Sands Mine Soil Properties." Thesis, Virginia Tech, 2007. http://hdl.handle.net/10919/31006.

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Significant deposits of heavy mineral sands (primarily ilmenite and zircon) are located in Virginia in Dinwiddie, Sussex and Greensville counties. Most deposits are located under prime farmland, and thus require intensive reclamation when mined. The objective of this study was to determine the effect of four different mine soil reconstruction methods on soil properties and associated rowcrop productivity. Treatments compared were 1) Biosolids-No Tillage, 2) Biosolids-Conventional Tillage, 3) Lime+NPK fertilized tailings (Control), and 4) 15-cm Topsoil over lime+P treated tailings. Treated plots were cropped to corn (Zea Mays L.) in 2005 and wheat (Triticum aestivum L.) in 2006. Yields were compared to nearby unmined prime farmland yields. Over both growing seasons, the two biosolids treatments produced the highest overall crop yields. The Topsoil treatment produced the lowest corn yields due to relatively poor physical and chemical conditions, but the effect was less obvious for the following wheat crop. Reclaimed land corn and wheat yields were higher than long-term county averages, but they were consistently lower than unmined plots under identical management. Detailed morphological study of 20 mine soil pedons revealed significant root-limiting subsoil compaction and textural stratification. The mine soils classified as Typic Udorthents (11), Typic Udifluvents (4) and Typic Dystrudepts (5). Overall, mined lands can be successfully returned to intensive agricultural production with comparable yields to long-term county averages provided extensive soil amendment and remedial tillage protocols are implemented. However, a significant decrease (~25 to 35%) in initial productivity should be expected relative to unmined prime farmland.<br>Master of Science
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Davidson, L. E. "Bulk density and carbon storage of lowland peat bogs in Northern Ireland." Thesis, Queen's University Belfast, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.273078.

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Tian, Liyun. "Density Functional Theory Study of Bulk Properties of Metallic Alloys and Compounds." Doctoral thesis, KTH, Tillämpad materialfysik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-210305.

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First-principles methods based on Density functional theory (DFT) are now adopted routinely to calculate the properties of materials. However, one of the biggest challenges of DFT is to describe the electronic behaviors of random alloys. One of the aims of this thesis is to study binary alloys, e.g. Ti-Al, Cu-Au, and multi-component alloys by using two models for chemically random structures: the special quasi-random structure (SQS) and coherent potential approximation (CPA). I investigate these approaches by focusing on the local lattice distortion (LLD) and the crystal symmetry effects. Within the SQS approach, the LLD effect can be modeled in a straightforward manner by relaxing the positions of atoms in the supercell. However, within this approach, it is difficult to model the random multi-components alloys due to the large size of the supercells. On the other hand, the CPA approach uses single-site approximation and thus it is not limited by the number of alloy components. But CPA suffers from the neglect of the local lattice relaxation effect, which in some systems and for some properties could be of significant importance. In my studies, the SQS and CPA approaches are combined with the pseudopotential method as implemented in the Vienna Ab-initio Simulation Package (VASP) and the Exact Muffin-Tin Orbitals (EMTO) methods, respectively. The mixing energies or formation enthalpies and elastic parameters of fcc Ti1-xAlx and Cu1-xAux (0 =&lt; x =&lt; 1) random solid solutions and high-entropy multicomponent TiZrVNb, TiZrNbMo and TiZrVNbMo alloys are calculated as a function of concentration. By comparing the results with and without local lattice relaxations, we find that the LLD effect is negligible for the elastic constants C11, C12, and C44. In general, the uncertainties in the elastic parameters associated with the symmetry lowering in supercell studies turn out to be superior to the differences between the two alloy techniques including the effect of LLD. However, the LLD effect on the mixing energies or formation enthalpies is significant and depends on the degree of size mismatch between alloy constituents. In the cases of random Cu-Au and high-entropy alloys, the formation enthalpies and mixing energies are significantly decreased when the LLD effect is considered. This finding sets the limitations of CPA for the mixing energies or formation enthalpies of alloys with large atomic size differences. The other goal of the thesis is to study the effect of exchange-correlation functionals on the formation energies of ordered alloys. For this investigation, we select the Cu-Au binary system which has for many years been in the focus of DFT and beyond DFT schemes. The Perdew-Burke-Ernzerhof (PBE) approximation to the exchange-correlation term in DFT is a mature approach and have been adopted routinely to investigate the properties of metallic alloys. In most cases, PBE provides theoretical results in good agreement with experiments. However, the ordered Cu-Au system turned out to be a special case where large deviations between the PBE predictions and observations occur. In this work, we make use of a recently developed exchange-correlation functional, the so-called quasi-nonuniform exchange-correlation approximation (QNA), to calculate the lattice constants and formation energies for ordered Cu-Au alloys as a function of composition. The calculations are performed using the EMTO method and verified by a full-potential method. We find that the QNA functional leads to an excellent agreement between theory and experiment. The PBE strongly overestimates the lattice constants for ordered Cu3Au, CuAu, CuAu3 compounds and also for the pure metals which are nicely corrected by the QNA approach. The errors in the formation energies of Cu3Au, CuAu, CuAu3 relative to the experimental data decrease from 38-45% obtained with PBE to 5-9% calculated for QNA. This excellent result demonstrates that one can reach superior accuracy within DFT for the formation energies and there is no need to go beyond DFT. Furthermore, it shows that error cancellation can be very effective for the formation energies as well and that the main DFT errors obtained at PBE or LDA levels originate from the core-valence overlap region, which is correctly captured by QNA due to its particular construction. Our findings are now extended to disordered alloys, which is briefly discussed already in one of my published papers.<br><p>Qc 20170630</p>
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Kumar, Santosh. "DENSITY-FUNCTIONAL THEORY APPLIED TO PROBLEMS IN CATALYSIS AND ELECTROCHEMISTRY." Master's thesis, University of Central Florida, 2006. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/2807.

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We study the structure and energetics of water molecules adsorbed at ceria (111) surfaces below one monolayer coverage using density-functional theory. The results of this study provide a theoretical framework for interpreting recent experimental results on the redox properties of water at ceria (111) surfaces. In particular, we have computed the structure and energetics of various absorption geometries at stoichiometric ceria (111) surface. In contrast to experiment results, we do not find a strong coverage dependence of the adsorption energy. For the case of reduced surface, our results show that it may not be energetically favorable for water to oxidize oxygen vacancy site at the surface. Instead, oxygen vacancies tend to result in water more strongly binding to the surface. The result of this attractive water-vacancy interaction is that the apparent concentration of oxygen vacancies at the surface is enhanced in the presence of water. Finally, we discuss this problem with reference to recent experimental and theoretical studies of vacancy clustering at the (111) ceria surface. We also describe the simulation results for the structure and dynamics of liquid water using the SIESTA electronic structure approach. We find that the structure of water depends strongly on the particular basis set used. Applying a systematic approach to varying the basis set, we find that the basis set which results in good agreement with experimental binding energies for isolated water dimers also provides a reasonable description of the radial distribution functions of liquid water. We show that the structure of liquid water varies in a systematic fashion with the choice of basis set. Comparable to many other first-principle studies of liquid water using gradient-corrected density functionals, the liquid is found to be somewhat overstructured. The possibility of further improvements through a better choice of the basis set is discussed. We find that while improvements are likely to be possible, application to large-scale systems will require use of a computational algorithm whose computational cost scales linearly with system size. Finally, we study the molecular and atomic adsorption of oxygen on the gold nano-clusters. We show multiple stable and metastable structures for atomically and molecularly adsorbed oxygen to the gold cluster. We plan to predict the reaction pathway and calculate activation energy barrier for desorption of molecular oxygen from the atomically adsorbed gold cluster which is very important for any catalytic reaction occurring using gold nanoparticles.<br>M.S.<br>Department of Mechanical, Materials and Aerospace Engineering;<br>Engineering and Computer Science<br>Materials Science and Engineering
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Books on the topic "Bulk density"

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Starr, G. Lynn. Soil bulk density and soil moisture calculated with a FORTRAN 77 program. U.S. Dept. of Agriculture, Forest Service, Pacific Northwest Research Station, 1988.

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E, Miller Richard. Precision, accuracy, and efficiency of four tools for measuring soil bulk density or strength. U.S. Dept. of Agriculture, Forest Service, Pacific Northwest Research Station, 2001.

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Wells, L. G. Bulk density response to placement methods and remedial measures in reconstructed prime farmland soils. s.n, 1992.

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Lentz, R. W. Combined field and laboratory study on the effect of bulk density and infiltration on erosion of reclaimed surface mined land. s.n, 1990.

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Institution, British Standards. Methods of test for coffee and coffee products. Part 16. Green and roasted coffee: Determination of free-flow bulk density of whole beans (routine method).. BSI, 1996.

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Road Density Analysis Task Team. Land management recommendations related to the value of low road density areas in the conservation of listed salmon, steelhead, and bull trout. [U.S. Dept. of the Interior, Bureau of Land Management?], 2000.

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Measured acoustic properties of variable and low density bulk absorbers. National Aeronautics and Space Administration, 1985.

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Lee, Chang-Dong Patrick. Extrusion processing of low-bulk density, microcellular, open-cell thermoplastic foams. 2006.

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National Institute of Standards and Technology (U.S.), ed. Effect of bulk lubricant concentration on the excess surface density during R123 pool boiling. U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 2001.

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D, Landsberg Johanna, ed. Bulk density and soil resistance to penetration as affected by commercial thinning in northeastern Washington. U.S. Dept. of Agriculture, Forest Service, Pacific Northwest Research Station, 2003.

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Book chapters on the topic "Bulk density"

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Gooch, Jan W. "Bulk Density." In Encyclopedic Dictionary of Polymers. Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-6247-8_1662.

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Bache, Bryon W., Ward Chesworth, Ward Chesworth, Carlo Gessa, and David T. Lewis. "Bulk Density." In Encyclopedia of Soil Science. Springer Netherlands, 2008. http://dx.doi.org/10.1007/978-1-4020-3995-9_80.

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Blake, G. R. "Bulk Density." In Agronomy Monographs. American Society of Agronomy, Soil Science Society of America, 2015. http://dx.doi.org/10.2134/agronmonogr9.1.c30.

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Blake, G. R., and K. H. Hartge. "Bulk Density." In SSSA Book Series. Soil Science Society of America, American Society of Agronomy, 2018. http://dx.doi.org/10.2136/sssabookser5.1.2ed.c13.

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Picandet, Vincent. "Bulk Density and Compressibility." In Bio-aggregates Based Building Materials. Springer Netherlands, 2017. http://dx.doi.org/10.1007/978-94-024-1031-0_5.

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Brack, Matthias. "Semiclassical Description of Nuclear Bulk Properties." In Density Functional Methods In Physics. Springer US, 1985. http://dx.doi.org/10.1007/978-1-4757-0818-9_12.

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Abzalov, Marat. "Dry Bulk Density (DBD) of Rocks." In Modern Approaches in Solid Earth Sciences. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-39264-6_7.

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Zhiguo, Meng, and Ping Jinsong. "Lunar Surface, Bulk Density and Porosity." In Encyclopedia of Lunar Science. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-05546-6_65-1.

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Dion, Marie-Josée, Hans Darmstadt, Nigel Backhouse, Mike Canada, and Frank Cannova. "Prediction of Calcined Coke Bulk Density." In Light Metals 2011. Springer International Publishing, 2011. http://dx.doi.org/10.1007/978-3-319-48160-9_159.

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Logsdon, Sally D., Odemari S. Mbuya, and Teferi Tsegaye. "Bulk Density and Soil Moisture Sensors." In Soil Science Step-by-Step Field Analysis. American Society of Agronomy and Soil Science Society of America, 2015. http://dx.doi.org/10.2136/2008.soilsciencestepbystep.c16.

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Conference papers on the topic "Bulk density"

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Clairmont L Clementson and Klein E Ileleji. "Understanding bulk density variability of DDGS." In 2009 Reno, Nevada, June 21 - June 24, 2009. American Society of Agricultural and Biological Engineers, 2009. http://dx.doi.org/10.13031/2013.27761.

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Stone, J. R., and Pawel Danielewicz. "Microscopic EoS for High Density Matter." In BULK NUCLEAR PROPERTIES: 5th ANL∕MSU∕JINA∕INT FRIB Workshop. AIP, 2009. http://dx.doi.org/10.1063/1.3146223.

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Chen, Xiancai, Bo Tao, and Zhouping Yin. "Investigation of bulk resistance for metal-coated polymer particles used in anisotropic conductive adhesive." In High Density Packaging (ICEPT-HDP). IEEE, 2011. http://dx.doi.org/10.1109/icept.2011.6066882.

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Zongze Li, Hiroaki Uehara, Ramamurthy Ramprasad, Steven Boggs, and Yang Cao. "Density of bulk trap states in polymeric films." In 2016 IEEE Conference on Electrical Insulation and Dielectric Phenomena (CEIDP). IEEE, 2016. http://dx.doi.org/10.1109/ceidp.2016.7785630.

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Klähn, T., C. D. Roberts, D. B. Blaschke, F. Sandin, and Pawel Danielewicz. "Neutron Stars and the High Density Equation of State." In BULK NUCLEAR PROPERTIES: 5th ANL∕MSU∕JINA∕INT FRIB Workshop. AIP, 2009. http://dx.doi.org/10.1063/1.3146212.

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Xingchao, Zhang, Zhang Yong, Tong Hao, Li Yong, Chen Xiaohua, and Chen Guoliang. "Micro-electro-discharge Machining of Bulk Metallic Glasses." In High Density Design Packaging and Microsystem Integration, 2007 International Symposium on. IEEE, 2007. http://dx.doi.org/10.1109/hdp.2007.4283595.

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Kubon, Maciej. "IMPACT OF BIOCHAR ADDITION ON BULK DENSITY OF SOIL." In 19th SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings. STEF92 Technology, 2019. http://dx.doi.org/10.5593/sgem2019/5.1/s20.044.

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Ranica, R., A. Villaret, P. Malinge, et al. "A one transistor cell on bulk substrate (1T-Bulk) for low-cost and high density eDRAM." In Digest of Technical Papers. 2004 Symposium on VLSI Technology, 2004. IEEE, 2004. http://dx.doi.org/10.1109/vlsit.2004.1345433.

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M Krishnapillai and R Sri Ranjan. "Nitrate Content Prediction in Soil using TDR Bulk Electrical Conductivity, Water Content, and Bulk Density Data." In 2007 Minneapolis, Minnesota, June 17-20, 2007. American Society of Agricultural and Biological Engineers, 2007. http://dx.doi.org/10.13031/2013.23047.

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Chuan, Miao, and Christian Schmidt. "Bulk Thermodynamics and charge fluctuations at non-vanishing baryon density." In The XXV International Symposium on Lattice Field Theory. Sissa Medialab, 2008. http://dx.doi.org/10.22323/1.042.0175.

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Reports on the topic "Bulk density"

1

Letsche, Nicholas, Peter J. Lammers, and Mark S. Honeyman. Bulk Density of Bio-Fuel Byproducts. Iowa State University, 2009. http://dx.doi.org/10.31274/ans_air-180814-777.

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Mudryy, Ruslan, Reddy Damavarapu, Victor Stepanov, and Raghunath Halder. Crystallization of High Bulk Density Nitroguanidine. Defense Technical Information Center, 2011. http://dx.doi.org/10.21236/ada545344.

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Cangi, Attila, Francisca Sagredo, Elizabeth Decolvenaere, and Ann E. Mattsson. Semi-local Density Functional Approximations for Bulk Surface and Confinement Physics. Office of Scientific and Technical Information (OSTI), 2019. http://dx.doi.org/10.2172/1569522.

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David, Aurelien. High Efficiency m-plane LEDs on Low Defect Density Bulk GaN Substrates. Office of Scientific and Technical Information (OSTI), 2012. http://dx.doi.org/10.2172/1126700.

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Maier, Brian, Roger Ottmar, and Clint Wright. Forest floor bulk density and depth at Savannah River - Draft Final Report. Office of Scientific and Technical Information (OSTI), 2004. http://dx.doi.org/10.2172/969917.

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Starr, G. L., and J. M. Geist. Soil bulk density and soil moisture calculated with a FORTRAN 77 program. U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station, 1988. http://dx.doi.org/10.2737/pnw-gtr-211.

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Favorite, Jeffrey. (U) Recalculation of Soil Bulk Density Used in the Scorpius MCNP6 Model. Office of Scientific and Technical Information (OSTI), 2021. http://dx.doi.org/10.2172/1766988.

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Parchure, Trimbak M., and Jack E. Davis. Effect of Organic Materials on Bulk Density and Erodibility of Fine Sediment Beds. Defense Technical Information Center, 2005. http://dx.doi.org/10.21236/ada438016.

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Miller, Richard E., John Hazard, and Steven Howes. Precision, accuracy, and efficiency of four tools for measuring soil bulk density or strength. U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station, 2001. http://dx.doi.org/10.2737/pnw-rp-532.

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Kedzierski, M. A. Effect of bulk lubricant concentration of the excess surface density during R123 pool boiling. National Institute of Standards and Technology, 2001. http://dx.doi.org/10.6028/nist.ir.6754.

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