2,456 research outputs found
Competition between antiferromagnetism and superconductivity, electron-hole doping asymmetry and "Fermi Surface" topology in cuprates
We investigate the asymmetry between electron and hole doping in a 2D Mott
insulator, and the resulting competition between antiferromagnetism (AF) and
d-wave superconductivity (SC), using variational Monte Carlo for projected wave
functions. We find that key features of the T = 0 phase diagram, such as
critical doping for SC-AF coexistence and the maximum value of the SC order
parameter, are determined by a single parameter which characterises the
topology of the "Fermi surface" at half filling defined by the bare
tight-binding parameters. Our results give insight into why AF wins for
electron doping, while SC is dominant on the hole doped side. We also suggest
using band structure engineering to control the parameter for enhancing SC.Comment: 4 pages, 4 figure
Diluted Josephson-junction arrays in a magnetic field: phase coherence and vortex glass thresholds
The effects of random dilution of junctions on a two-dimensional
Josephson-junction array in a magnetic field are considered. For rational
values of the average flux quantum per plaquette , the superconducting
transition temperature vanishes, for increasing dilution, at a critical value
, while the vortex ordering remains stable up to , much
below the value corresponding to the geometric percolation threshold. For
, the array behaves as a zero-temperature vortex-glass.
Numerical results for from defect energy calculations are presented
which are consistent with this scenario.Comment: 4 pages, 4 figures, to appear in Phys. Rev.
Coulomb Interactions and Nanoscale Electronic Inhomogeneities in Manganites
We address the issue of endemic electronic inhomogeneities in manganites
using extensive simulations on a new model with Coulomb interactions amongst
two electronic fluids, one localized (polaronic), the other extended
(band-like), and dopant ions. The long range Coulomb interactions frustrate
phase separation induced by the strong on site repulsion between the fluids. A
single quantum phase ensues which is intrinsically and strongly inhomogeneous
at a nano-scale, but homogeneous on meso-scales, with many characteristics
(including colossal responses)that agree with experiments. This, we argue, is
the origin of nanoscale inhomogeneities in manganites, rather than phase
competition and disorder related effects as often proposed.Comment: 4 pages, 3 figure
Dynamic of a non homogeneously coarse grained system
To study materials phenomena simultaneously at various length scales,
descriptions in which matter can be coarse grained to arbitrary levels, are
necessary. Attempts to do this in the static regime (i.e. zero temperature)
have already been developed. In this letter, we present an approach that leads
to a dynamics for such coarse-grained models. This allows us to obtain
temperature-dependent and transport properties. Renormalization group theory is
used to create new local potentials model between nodes, within the
approximation of local thermodynamical equilibrium. Assuming that these
potentials give an averaged description of node dynamics, we calculate thermal
and mechanical properties. If this method can be sufficiently generalized it
may form the basis of a Molecular Dynamics method with time and spatial
coarse-graining.Comment: 4 pages, 4 figure
Low-Reynolds number swimming in gels
Many microorganisms swim through gels, materials with nonzero zero-frequency
elastic shear modulus, such as mucus. Biological gels are typically
heterogeneous, containing both a structural scaffold (network) and a fluid
solvent. We analyze the swimming of an infinite sheet undergoing transverse
traveling wave deformations in the "two-fluid" model of a gel, which treats the
network and solvent as two coupled elastic and viscous continuum phases. We
show that geometric nonlinearities must be incorporated to obtain physically
meaningful results. We identify a transition between regimes where the network
deforms to follow solvent flows and where the network is stationary. Swimming
speeds can be enhanced relative to Newtonian fluids when the network is
stationary. Compressibility effects can also enhance swimming velocities.
Finally, microscopic details of sheet-network interactions influence the
boundary conditions between the sheet and network. The nature of these boundary
conditions significantly impacts swimming speeds.Comment: 6 pages, 5 figures, submitted to EP
Atomic-scale perspective on the origin of attractive step interactions on Si(113)
Recent experiments have shown that steps on Si(113) surfaces self-organize
into bunches due to a competition between long-range repulsive and short-range
attractive interactions. Using empirical and tight-binding interatomic
potentials, we investigate the physical origin of the short-range attraction,
and report the formation and interaction energies of steps. We find that the
short-range attraction between steps is due to the annihilation of force
monopoles at their edges as they combine to form bunches. Our results for the
strengths of the attractive interactions are consistent with the values
determined from experimental studies on kinetics of faceting.Comment: 4 pages, 3 figures, to appear in Phys. Rev B, Rapid Communication
Validation of Data Reduction Interactive Pipeline for FORCAST on SOFIA
The Stratospheric Observatory For Infrared Astronomy (SOFIA) is a heavily modified Boeing 747SP aircraft equipped with 2.5 meter reflecting telescope. Among the suite of instruments onboard is the Faint Object Infrared Camera for the SOFIA Telescope (FORCAST). FORCAST features two cameras for short (5-25 microns) and long (25-40 microns) wavelength detection. Making infrared observations in these wavelengths presents a challenge because the telescope and sky emit background radiation magnitudes brighter than the object of interest. Because of this, the raw FORCAST data must be corrected and reduced. The Data Reduction Interactive Pipeline (DRIP) was developed to process all FORCAST data using IDL procedures. Each step of the data reduction and calibration is saved for graphic interface. On all raw data, DRIP cleans bad pixels, applies droop and non-linearity correction, does background subtraction, and jailbar removal. It can optionally do image rectification and combine chop/nod groups. Our current mission, in collaboration with the Division of Planetary Sciences group, is to validate the DRIP output and ensure that the highest quality data is provided for imaging and the astronomical community
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