Skip to content

This work is part of mathematical research I carried out in 2019 leading to my MSc thesis at Ignatius Ajuru University. MATLAB was used for numerical simulation and Python was used for analysis and visualisation.

Notifications You must be signed in to change notification settings

zion-king/varshni-modelling

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

44 Commits
 
 
 
 
 
 
 
 

Repository files navigation

Numerical Simulation of the Varshni Potential Model with MATLAB and Python

Abstract

This study investigated the Varshni potential energy function in a numerical analysis framework. A linear first order ordinary differential equation satisfying deterministic parameterisation was constructed and its general and particular solutions were obtained. Impact analysis was carried out on the model using numerical simulations, to investigate the sensitivity of the model parameters under external random perturbations and the influence of these changes on the potential function. Four random perturbation configurations were studied in 15 scenarios each, with 15 iterations of numerical simulations run for each case, using a range of initial conditions. For each iteration, the effect of the perturbation on the potential levels ws computed. The numerical algorithms were implemented with MATLAB, and Python was used to analyse and plot the results. The results of this study indicate that the potential strength is increasingly sensitive to random perturbations, causing unpredictable fluctuations in the system. Higher initial values of the screening parameter result in lower curvatures in the potential curves. Further, computations of the p-vector norm errors between the two interacting solution trajectories of the potential model returned values greater than zero and much less than 1, demonstrating that the model is trustworthy. This study concludes that variations in potential strength have direct differential effects on periodicity and instability of interacting potential systems, while variations in the screening parameter have direct influence on the shape of the curves. This research can be extended to studying the effects of varying the range and iteration steps of the initial conditions, and the influence of computation time delays on the outcome of the simulations.

Key words: Varshni potential, numerical simulation, random perturbation, sensitivity, stability, MATLAB, Python

Authors

Zion Pibowei, E.N. Ekaka-a,
Department of Mathematics, Faculty of Natural and Applied Sciences
Ignatius Ajuru University of Education
Port Harcourt, Nigeria

About

This work is part of mathematical research I carried out in 2019 leading to my MSc thesis at the aforementioned institution.

About

This work is part of mathematical research I carried out in 2019 leading to my MSc thesis at Ignatius Ajuru University. MATLAB was used for numerical simulation and Python was used for analysis and visualisation.

Topics

Resources

Stars

Watchers

Forks