Computer Simulation of Diffusion in a Mixture of Ideal Gases Considering the Dependence of the Diffusion Coefficient on the Entropy of Mixing Using Finite Element Method
Research Article  ·  Published: 29 October 2025
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Journal of Numerical Simulations in Physics and Mathematics
Volume 1, Issue 2, 2025: 60-66
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Computer Simulation of Diffusion in a Mixture of Ideal Gases Considering the Dependence of the Diffusion Coefficient on the Entropy of Mixing Using Finite Element Method

1 Chair of Information Technologies in Ecology and Medicine, International Sakharov Environmental Institute of Belarusian State University, Minsk 220070, Belarus
* Corresponding Author: Pavel Shalkevich, [email protected]
Volume 1, Issue 2
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Abstract

The objective of the research was to perform computer simulation of diffusion in a mixture of ideal gases considering the dependence of the diffusion coefficient on the entropy of mixing according to the proposed mathematical model. Computer simulation was carried out in one-dimensional and two-dimensional settings using finite element method and Python programming language with the use of NumPy and SciPy libraries. The obtained results show that the proposed mathematical model of diffusion in a mixture of ideal gases could be used to solve computer simulation tasks of gas diffusion satisfying the principle of mass conservation, because the entropy is considered via the chemical potential.

Graphical Abstract

Computer Simulation of Diffusion in a Mixture of Ideal Gases Considering the Dependence of the Diffusion Coefficient on the Entropy of Mixing Using Finite Element Method

Keywords

computer modeling mathematical modeling gas diffusion entropy of gas mixing chemical potential finite element method numerical methods

Data Availability Statement

Data will be made available on request.

Funding

This work was supported without any funding.

Conflicts of Interest

The authors declare no conflicts of interest.

Ethical Approval and Consent to Participate

Not applicable.

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Cite This Article

APA Style
Shalkevich, P., & Tsvikevich, N. (2025). Computer Simulation of Diffusion in a Mixture of Ideal Gases Considering the Dependence of the Diffusion Coefficient on the Entropy of Mixing Using Finite Element Method. Journal of Numerical Simulations in Physics and Mathematics, 1(2), 60–66. https://doi.org/10.62762/JNSPM.2025.504999
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TY  - JOUR
AU  - Shalkevich, Pavel
AU  - Tsvikevich, Nikita
PY  - 2025
DA  - 2025/10/29
TI  - Computer Simulation of Diffusion in a Mixture of Ideal Gases Considering the Dependence of the Diffusion Coefficient on the Entropy of Mixing Using Finite Element Method
JO  - Journal of Numerical Simulations in Physics and Mathematics
T2  - Journal of Numerical Simulations in Physics and Mathematics
JF  - Journal of Numerical Simulations in Physics and Mathematics
VL  - 1
IS  - 2
SP  - 60
EP  - 66
DO  - 10.62762/JNSPM.2025.504999
UR  - https://www.icck.org/article/abs/JNSPM.2025.504999
KW  - computer modeling
KW  - mathematical modeling
KW  - gas diffusion
KW  - entropy of gas mixing
KW  - chemical potential
KW  - finite element method
KW  - numerical methods
AB  - The objective of the research was to perform computer simulation of diffusion in a mixture of ideal gases considering the dependence of the diffusion coefficient on the entropy of mixing according to the proposed mathematical model. Computer simulation was carried out in one-dimensional and two-dimensional settings using finite element method and Python programming language with the use of NumPy and SciPy libraries. The obtained results show that the proposed mathematical model of diffusion in a mixture of ideal gases could be used to solve computer simulation tasks of gas diffusion satisfying the principle of mass conservation, because the entropy is considered via the chemical potential.
SN  - 3068-9082
PB  - Institute of Central Computation and Knowledge
LA  - English
ER  - 
BibTeX Format
Compatible with LaTeX, BibTeX, and other reference managers
@article{Shalkevich2025Computer,
  author = {Pavel Shalkevich and Nikita Tsvikevich},
  title = {Computer Simulation of Diffusion in a Mixture of Ideal Gases Considering the Dependence of the Diffusion Coefficient on the Entropy of Mixing Using Finite Element Method},
  journal = {Journal of Numerical Simulations in Physics and Mathematics},
  year = {2025},
  volume = {1},
  number = {2},
  pages = {60-66},
  doi = {10.62762/JNSPM.2025.504999},
  url = {https://www.icck.org/article/abs/JNSPM.2025.504999},
  abstract = {The objective of the research was to perform computer simulation of diffusion in a mixture of ideal gases considering the dependence of the diffusion coefficient on the entropy of mixing according to the proposed mathematical model. Computer simulation was carried out in one-dimensional and two-dimensional settings using finite element method and Python programming language with the use of NumPy and SciPy libraries. The obtained results show that the proposed mathematical model of diffusion in a mixture of ideal gases could be used to solve computer simulation tasks of gas diffusion satisfying the principle of mass conservation, because the entropy is considered via the chemical potential.},
  keywords = {computer modeling, mathematical modeling, gas diffusion, entropy of gas mixing, chemical potential, finite element method, numerical methods},
  issn = {3068-9082},
  publisher = {Institute of Central Computation and Knowledge}
}

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CC BY Copyright © 2025 by the Author(s). Published by Institute of Central Computation and Knowledge. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made.
Journal of Numerical Simulations in Physics and Mathematics
Journal of Numerical Simulations in Physics and Mathematics
ISSN: 3068-9082 (Online) | ISSN: 3068-9074 (Print)
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