29,228 research outputs found
Transition from Ekman flow to Taylor vortex flow in superfluid helium
By numerically computing the steady axisymmetric flow of helium II confined
inside a finite aspect ratio Couette annulus, we determine the transition from
Ekman flow to Taylor vortex flow as a function of temperature and aspect
ratio.We find that the low-Reynolds number flow is quite different to that of a
classical fluid, particularly at lower temperatures.At high aspect ratio our
results confirm the existing linear stability theory of the onset of Taylor
vortices, which assumes infinitely long cylinders.Comment: 12 pages, 8 figures; submitte
Grid generation strategies for turbomachinery configurations
Turbomachinery flow fields involve unique grid generation issues due to their geometrical and physical characteristics. Several strategic approaches are discussed to generate quality grids. The grid quality is further enhanced through blending and adapting. Grid blending smooths the grids locally through averaging and diffusion operators. Grid adaptation redistributes the grid points based on a grid quality assessment. These methods are demonstrated with several examples
Interactive solution-adaptive grid generation
TURBO-AD is an interactive solution-adaptive grid generation program under development. The program combines an interactive algebraic grid generation technique and a solution-adaptive grid generation technique into a single interactive solution-adaptive grid generation package. The control point form uses a sparse collection of control points to algebraically generate a field grid. This technique provides local grid control capability and is well suited to interactive work due to its speed and efficiency. A mapping from the physical domain to a parametric domain was used to improve difficulties that had been encountered near outwardly concave boundaries in the control point technique. Therefore, all grid modifications are performed on a unit square in the parametric domain, and the new adapted grid in the parametric domain is then mapped back to the physical domain. The grid adaptation is achieved by first adapting the control points to a numerical solution in the parametric domain using control sources obtained from flow properties. Then a new modified grid is generated from the adapted control net. This solution-adaptive grid generation process is efficient because the number of control points is much less than the number of grid points and the generation of a new grid from the adapted control net is an efficient algebraic process. TURBO-AD provides the user with both local and global grid controls
MAG3D and its application to internal flowfield analysis
MAG3D (multiblock adaptive grid, 3D) is a 3D solution-adaptive grid generation code which redistributes grid points to improve the accuracy of a flow solution without increasing the number of grid points. The code is applicable to structured grids with a multiblock topology. It is independent of the original grid generator and the flow solver. The code uses the coordinates of an initial grid and the flow solution interpolated onto the new grid. MAG3D uses a numerical mapping and potential theory to modify the grid distribution based on properties of the flow solution on the initial grid. The adaptation technique is discussed, and the capability of MAG3D is demonstrated with several internal flow examples. Advantages of using solution-adaptive grids are also shown by comparing flow solutions on adaptive grids with those on initial grids
Interactive solution-adaptive grid generation procedure
TURBO-AD is an interactive solution adaptive grid generation program under development. The program combines an interactive algebraic grid generation technique and a solution adaptive grid generation technique into a single interactive package. The control point form uses a sparse collection of control points to algebraically generate a field grid. This technique provides local grid control capability and is well suited to interactive work due to its speed and efficiency. A mapping from the physical domain to a parametric domain was used to improve difficulties encountered near outwardly concave boundaries in the control point technique. Therefore, all grid modifications are performed on the unit square in the parametric domain, and the new adapted grid is then mapped back to the physical domain. The grid adaption is achieved by adapting the control points to a numerical solution in the parametric domain using control sources obtained from the flow properties. Then a new modified grid is generated from the adapted control net. This process is efficient because the number of control points is much less than the number of grid points and the generation of the grid is an efficient algebraic process. TURBO-AD provides the user with both local and global controls
Public & Private Spillovers, Location and the Productivity of Pharmaceutical Research
While there is widespread agreement among economists and management scholars that knowledge spillovers exist and have important economic consequences, researchers know substantially less about the "micro mechanisms" of spillovers -- about the degree to which they are geographically localized, for example, or about the degree to which spillovers from public institutions are qualitatively different from those from privately owned firms (Jaffe, 1986; Krugman, 1991; Jaffe et al., 1993; Porter, 1990). In this paper we make use of the geographic distribution of the research activities of major global pharmaceutical firms to explore the extent to which knowledge spills over from proximate private and public institutions. Our data and empirical approach allow us to make advances on two dimensions. First, by focusing on spillovers in research productivity (as opposed to manufacturing productivity), we build closely on the theoretical literature on spillovers that suggests that knowledge externalities are likely to have the most immediate impact on the production of ideas (Romer, 1986; Aghion & Howitt, 1997). Second, our data allow us to distinguish spillovers from public research from spillovers from private, or competitively funded research, and to more deeply explore the role that institutions and geographic proximity play in driving knowledge spillovers.
Translational researchers' training and development needs, preferences, and barriers: a survey in a National Institute for Health Research Biomedical Research Centre in the United Kingdom
The objective was to identify translational researchers’ training and development needs, preferences, and barriers to attending training. This cross-sectional study involved an online questionnaire survey. The research population comprised a convenience sample of translational researchers and support staff (N = 798) affiliated with the National Institute for Health Research Oxford Biomedical Research Centre. The response rate was 24%. Of 189 respondents, 114 were women (60%) and 75 were men (40%). The respondents were mainly research scientists (31%), medical doctors and dentists (17%), and research nurses and midwives (16%). Many of the respondents had attended at least one training course in the last year (68%). Training in statistics and data analysis was the most common training received (20%). Leadership training was the most wanted training (25%). Morning was the most preferred time of training (60%). Half a day was the ideal duration of a training course (41%). The main teaching hospital site was the most preferred location of training (46%). An interactive workshop was the most favored delivery style of training (52%). Most common barriers to attending training were the lack of time (31%), work (21%) and clinical commitments (19%), and family and childcare responsibilities (14%). Some differences in training needs, preferences, and barriers were found by gender and role, though these were not statistically significant. Translational researchers want short, easily accessible, and interactive training sessions during the working day. The training needs, preferences, and barriers to attending training need to be considered while developing inclusive training programs in biomedical research settings
Bose-Einstein Condensate Driven by a Kicked Rotor in a Finite Box
We study the effect of different heating rates of a dilute Bose gas confined
in a quasi-1D finite, leaky box. An optical kicked-rotor is used to transfer
energy to the atoms while two repulsive optical beams are used to confine the
atoms. The average energy of the atoms is localized after a large number of
kicks and the system reaches a nonequilibrium steady state. A numerical
simulation of the experimental data suggests that the localization is due to
energetic atoms leaking over the barrier. Our data also indicates a correlation
between collisions and the destruction of the Bose-Einstein condensate
fraction.Comment: 7 pages, 8 figure
Foundations of Quantum Discord
This paper summarizes the basics of the notion of quantum discord and how it
relates to other types of correlations in quantum physics. We take the
fundamental information theoretic approach and illustrate our exposition with a
number of simple examples.Comment: 3 pages, special issue edited by Diogo de Oliveira Soares Pinto et a
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