9,322 research outputs found
Co- and counter-helicity interaction between two adjacent laboratory prominences
The interaction between two side-by-side solar prominence-like plasmas has been studied using a four-electrode magnetized plasma source that can impose a wide variety of surface boundary conditions. When the source is arranged to create two prominences with the same helicity (co-helicity), it is observed that helicity transfer from one prominence to the other causes the receiving prominence to erupt sooner and faster than the transmitting prominence. When the source is arranged to create two prominences with opposite helicity (counter-helicity), it is observed that upon merging, prominences wrap around each other to form closely spaced, writhing turns of plasma. This is followed by appearance of a distinct bright region in the middle and order of magnitude higher emission of soft x rays. The four-electrode device has also been used to change the angle of the neutral line and so form more pronounced S-shapes
Non-Fermi-liquid behavior at anti-ferromagnetic quantum critical point in heavy fermion system Ce(CuCo)Ge
Polycrystalline samples of Ce(CuCo)Ge were investigated
by means of electrical resistivity (), magnetic susceptibility
(), specific heat () and thermo electric power ()
measurements. The long-range antiferromagnetic (AFM) order, which set in at
= 4.1 K in CeCuGe, is suppressed by non-iso-electronic cobalt
(Co) doping at a critical value of the concentration = 0.6, accompanied
by non-Fermi liquid (NFL) behavior inferred from the power law dependence of
heat capacity and susceptibility i.e. ()/ and ()
down to 0.4 K, along with a clear deviation from
behavior of the electrical resistivity. However, we have not seen any
superconducting phase in the quantum critical regime down to 0.4 K.Comment: 8 pages, 11 figure
Adaptive mufti-objective particle swarm optimization algorithm
In this article we describe a novel Particle Swarm Optimization (PSO) approach to Multi-objective Optimization (MOO) called Adaptive Multi-objective Particle Swarm Optimization (AMOPSO). AMOPSO algorithm's novelty lies in its adaptive nature, that is attained by incorporating inertia and the acceleration coefficient as control variables with usual optimization variables, and evolving these through the swarming procedure. A new diversity parameter has been used to ensure sufficient diversity amongst the solutions of the non dominated front. AMOPSO has been compared with some recently developed multi-objective PSO techniques and evolutionary algorithms for nine function optimization problems, using different performance measures
Investigation of ion induced bending mechanism for nanostructures
Ion induced bending is a promising controlled technique for manipulating nanoscale structures. However, the underlying mechanism of the process is not well understood. In this letter, we report a detailed study of the bending mechanism of Si nanowires (NWs) under Ga+ irradiation. The microstructural changes in the NW due to ion beam irradiation are studied and molecular dynamics simulations are used to explore the ion–NW interaction processes. The simulation results are compared with the microstructural studies of the NW. The investigations inform a generic understanding of the bending process in crystalline materials, which we suggest to be feasible as a versatile manipulation and integration technique in nanotechnology
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