Journal of Mathematical Chemistry最新文献

The Thomas equation, which controls ion exchange as well as chemical kinetics and advection processes in chemical systems, has its coefficients expanded as functions of time in this work. The goal of this modification is to produce simulations of advection and kinetic processes that are more precise and lifelike. In order to examine the nonlinear distribution and interaction features, the dynamic traveling wave solution of the time-dependent variable coefficient Thomas equation has been successfully achieved. The physical properties of the constants and functions in the wave model presented with certain initial and boundary conditions have been examined. Constants and functions are designed to be as close to reality as possible in order to improve our understanding of the distribution of ions over time in the chemical process. With this design, the newly introduced dynamic traveling wave model is better adapted to the ion exchange process. The coefficient functions that have a direct effect on the stability of the physical mechanism are analyzed under which conditions the system will remain stable. It is envisaged that ion exchange processes in water treatment plants can be optimized by using the wave model introduced for the first time in this study. The gradual damping of ion motions in the chemical process and the trend towards equilibrium over time were investigated using the proposed model.

This investigation focuses on the unsteady three-dimensional electrically conducting nanofluid flow over a bilateral nonlinear stretching sheet. A novel mathematical model is developed to incorporate the influences of Arrhenius activation energy, nonlinear thermal radiation, and Joule heating. The Taylor wavelet series collocation method (TWSCM) is employed for analysis. The governing partial differential equations (PDEs) are transformed by applying suitable similarity transformation into nonlinear coupled ordinary differential equations (ODEs). These ODEs are then solved using the TWSCM approach. This method allows us to explore how various physical parameters influence mass and heat transfer in the nanofluid flow. The findings reveal that the thermal Biot number and activation energy parameter significantly enhance the concentration field. Moreover, the heat transfer rate is found to increase with the temperature ratio and thermal Biot parameters while decreasing with the activation energy parameter.

This article describes the production of biogas in a cellulose-based substrate using a multifractional dynamic model. The objective is to give more precise depiction of the nonlinear characteristics of the chemical reactions involved in anaerobic digestion. In addition well-posedness and consistency, we present the sensitivity analysis used to determine which system equations follow non-integer order dynamics. We illustrate the efficacy of the model with numerical simulations that compare experimental data with the conventional model. The multifractional model’s outputs are in good agreement with the biogas production process’s overall response, which may lead to more effective control strategies.

Turing’s model to explains the formation of patterns in morphogenesis considered a system of chemicals, termed morphogens, that react and diffuse through tissues. These reaction–diffusion systems can start homogeneously but later develop patterns due to instabilities triggered by random disturbances. Building on this foundation, Kepper realized the Chlorite-Iodide Malonic-Acid reaction, an example of an oscillatory reaction in a homogeneous solution that forms spatial patterns in a non-homogeneous environment. This work led to further studies, such as the Lengyel-Epstein reaction–diffusion model, which describes the dynamics of chemical concentrations of activator and inhibitor species. This paper extends these classical models by investigating a general reaction–diffusion system through the lens of Lie symmetries. We analyze the system using Lie point symmetry generators and Lie symmetry groups, enabling us to reduce the equations via these symmetries. Furthermore, we compute the conservation laws for the general reaction–diffusion model using the multipliers approach, involving dependent variables, independent variables, and their derivatives up to a certain order. By applying various symmetry groups, we derive new solutions from known ones, offering deeper insights into the dynamics of pattern formation in biological systems.

In this paper, we examine the Gutman–Milovanović index and establish new upper and lower bounds for it. These bounds include terms related to the general sum connectivity index, the general second Zagreb index, and the hyperbolicity constant of the underlying graph. Also, we model physicochemical properties of polyaromatic hydrocarbons using the Gutman–Milovanović index.

In this work, we employed the techniques of complex dynamics to perform stability analysis of an optimal mean-based family of iterative methods of order four. Taking into consideration the stability aspect of the specified method, one can describe the method’s sensitivity to the initial guesses. A rational function corresponding to the iterative family is developed. The convergence and stability of a certain method can be analyzed upon finding the fixed points, critical points, periodic points, etc. of the rational function. Furthermore, the dynamical and parametric planes are drawn which help us to detect the stable as well as non-stable regions. It has been observed that stable iterative methods generally yield better performance on complex problems compared to unstable methods. This observation has been supported by numerical experiments that compare our proposed family with some existing methods for representing some chemistry problems, like conversion in a chemical reactor, equations of state, and continuous stirred tank reactor problem.

In this work an approximate analytic expression for the quantum partition function of the quartic oscillator described by the potential (V(x) = frac{1}{2} omega ^2 x^2 + g x^4) is presented. Using a path integral formalism, the exact partition function is approximated by the partition function of a harmonic oscillator with an effective frequency depending both on the temperature and coupling constant g. By invoking a Principle of Minimal Sensitivity (PMS) of the path integral to the effective frequency, we derive a mathematically well-defined analytic formula for the partition function. Quite remarkably, the formula reproduces qualitatively and quantitatively the key features of the exact partition function. The free energy is accurate to a few percent over the entire range of temperatures and coupling strengths g. Both the harmonic ((grightarrow 0)) and classical (high-temperature) limits are exactly recovered. The divergence of the power series of the ground-state energy at weak coupling, characterized by a factorial growth of the perturbational energies, is reproduced as well as the functional form of the strong-coupling expansion along with accurate coefficients. Explicit accurate expressions for the ground- and first-excited state energies, (E_0(g)) and (E_1(g)) are also presented.

Using a technique that accounts for disappearing phase-lag might lead to the elimination of phase-lag and all of its derivatives up to order four. The new technique known as the cost-efficient approach aims to improve algebraic order (AOR) and decrease function evaluations (FEvs). The one-of-a-kind approach is shown by Equation PF4DPHFITN142SPS. This method is endlessly periodic since it is P-Stable. The proposed method may be used to solve many different types of periodic and/or oscillatory problems. This innovative method was used to address the difficult issue of Schrödinger-type coupled differential equations in quantum chemistry. The new technique might be seen as a cost-efficient solution since it only requires 5FEvs to execute each step. We are able to greatly ameliorate our current situation with an AOR of 14.