This research paper presents a novel mathematical modelling framework that integrates fundamental principles from basic sciences to advance technological innovation. By leveraging techniques from dynamical systems, differential equations, and statistical mechanics, we develop a unified approach to model complex phenomena in physics, biology, chemistry, and mathematics. Our framework provides a powerful tool for simulating, analysing, and predicting the behaviour of complex systems, with applications in materials science, biotechnology, and renewable energy. This study demonstrates the efficacy of mathematical modelling in bridging the gap between basic sciences and technological innovation, fostering a deeper understanding of the underlying mechanisms governing complex systems.
| Published in | Abstract Book of the National Conference on Advances in Basic Science & Technology |
| Page(s) | 93-93 |
| Creative Commons |
This is an Open Access abstract, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2025. Published by Science Publishing Group |
Mathematical Modelling, Basic Sciences, Technological Innovation, Complex Systems, Interdisciplinary Research
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