An overview of the results obtained in the framework of JINR-UNISA collaboration in
the field of theoretical research on superconducting electronics, spintronics and chaos is
presented [1-7]. The important role played by nonlinear and chaotic phenomena in
different types of Josephson structures will be discussed within the context of our present
studies and future...
The research team operates within the Department of Physics at the University of Limpopo. Their computational studies focus on a range of materials, including gold, silver, and copper nanoparticles, as well as the field of physics education. These nanoparticles are explored as potential candidates for chemical sensing and energy storage through theoretical and computational approaches....
We give a review of the modern precision table-top experiments and precision physics. Status of theory: two-body and three-body calculations. We discuss impact of precision physics on the fundamental physical constants, search for space-time variations of fundamental constants, precision determination of masses, search for new exotic forces, CP violation and electron EDM.
We consider...
Accurate estimates of (anti)neutrino spectra and luminosities are essential for assessing the possibility of detecting neutrinos from pre-supernova stars. Using the thermal quasiparticle random-phase approximation (TQRPA) method, we studied the effects of nuclear temperature on pre-supernova (anti)neutrino emission. Comparing the $\nu_e$ and $\bar\nu_e$ spectra produced in neutral- and...
Artificial Intelligence is revolutionising the way we solve complex problems in science. One example is the Physics-Informed Neural Network (PINN)—a machine learning approach that offers an effective framework for solving differential equations by embedding physical laws directly into the neural network’s training process. Unlike traditional numerical methods for solving differential...
Various nucleon-nucleon interactions are used to study the ground state structure of weakly bound three-body systems. It is found that when a hard-core nucleon-nucleon is used, a strongly attractive three-body force is required to keep the system bound in the case of a light system. However, the strength of the three-body force is substantially reduced as the atomic mass of the system...
Compact astronomical objects, historically called neutron stars, are remnants of dying stars that survived supernova explosions. They can be viewed as giant nuclei held together by gravitational forces acting against the pressure of degenerated nuclear matter.
We discuss astronomical constraints on the neutron star properties: mass, radius, temperature, age. Then we review the nuclear...
An analysis of the energy, mass and angular distributions of the binary reaction products in the heavy ion collisions allows us to construct the mechanisms of their formation in dependence on the beam energy, orbital angular momentum and structure of the colliding nuclei.
The theoretical methods [1] based on the dinuclear system (DNS) concept [2] suggested by Prof. Vadim Volkov are used to...
Neural networks serve as universal continuous function approximators in finite-dimensional spaces and can offer an alternative to finite element methods for solving partial differential equations (PDEs). Extending neural networks to neural operators, which can approximate continuous (and potentially non-linear) mappings between function spaces, is non-trivial. Neural operators are designed to...
Magnetic frustration, a situation where all interactions in the magnetic Hamiltonian can be realized either from geometry of the lattice , or from
anisotropic interactions. In some cases frustration can be strong enough to destroy magnetic long-range order in favor of a quantum disordered "spin liquid" regime. Such a state is highly sough after due to its entanglement and topological...
