The coalescence of magnetic islands in the low-resistivity eta, Hall-MHD regime is studied. The interaction between the ion inertial length d(i) and the dynamically evolving current sheet scale length deltaJ is established. Initially, d(i) << deltaJ. If eta is such that deltaJ dynamically thins down to d(i) prior to the well-known sloshing phenomena, then sloshing is avoided. This results in et...

We studied resistivity, magnetoresistivity, and Hall resistivity for a few percolating granular NiFe-SiO2 films upon thermal annealing. It was found that both the resistivity and the Hall resistivity decrease by two orders of magnitude upon annealing at 520 °C, accompanied by a crossover from an approximately 2lnT dependence of resistivity to a metallic behavior. On the other hand, transmission...

We have developed a linearized algorithm to invert noisy 2-D magnetotelluric data for subsurface conductivity structures represented by smooth boundaries defining sharp resistivity contrasts. We solve for both a fixed number of subsurface resistivities and for the boundary locations between adjacent units. The boundary depths are forced to be discrete values defined by the mesh used in the forw...

The nature of normal state charge-carriers’ dynamics and the transition in conduction and gap dimensionalities between 2D and 3D for YBa2Cu3O7−δ and Bi2Sr2Ca1−xYxCu2O8 high-Tc superconductors were described by computing and fitting the resistivity curves, ρ(T, δ, x). These were carried out by utilizing the 2D and 3D Fermi liquid (FL) and ionization energy (EI) based resistivity models coupled w...

Recovering the actual subsurface electrical resistivity properties from tomography data is challenging because inverse problem nonlinear and ill-posed. This paper proposes a Variational Encoder-Decoder (VED) based network to obtain model, which maps apparent (input) true (output). Since deep learning (DL) models are highly dependent on training sets providing meaningful geological model complex...