in this article, the second quantization method has been used to investigate some thermodynamic properties of spin-polarized metallic nanowire in the presence of magnetic field at zero temperature. we have been observed that in different magnetic field, the equilibrium energy of system increases as the density increases. the spin-polarization parameter corresponding to the equilibrium state of ...

Publications are increasingly (often wrongly) being used as research outputs. Furthermore, ‘impacts’ of such publications are often (wrongly as well) measured using ‘citations’. Popular metric, like the ‘Hirsch index’, or ‘h-index’ is used as yardstick for judging the quality of individual researchers. However, there are many controversies around it, whether it is a good yardstick, which could ...

We discuss the implication of the introduction of an extra field to the dynamics of a scalar field conformally coupled to gravitation in a homogeneous isotropic spatially flat universe. We show that for some reasonable parameter values the dynamical effects are similar to those of our previous model with a single scalar field. Nevertheless for other parameter values new dynamical effects are ob...

The dual relationship between two n − 1 parameter families of quantum field theories based on extended complex numbers is investigated in two dimensions. The non-local conserved charges approach is used. The lowest rank affine Toda field theories are generated and identified as integrability submanifolds in parameter space. A truncation of the model leads to a conformal field theory in extended...

Using the counterterm subtraction technique we calculate the stress–energy tensor, action, and other physical quantities for Kerr–AdS black holes in various dimensions. For Kerr–AdS5 with both rotation parameters non–zero, we demonstrate that stress–energy tensor, in the zero mass parameter limit, is equal to the stress tensor of the weakly coupled four dimensional dual field theory. As a resul...

Many high-performance fluid dynamic models do not consider fluids in a rotating environment and often require significant amount of computational time. The current study proposes novel parameter-based field reconstruction convolutional neural network (PFR-CNN) approach to model the solute concentration rotationally influenced fluids. A new three-dimensional (3D) numerical solver, TwoLiquidMixin...