Computer Simulations in Physics

Abstract

Computer simulations constitute a fundamental area of contemporary research, enabling precise modeling of complex processes across multiple scientific disciplines. Through the application of advanced numerical algorithms, it is possible to accurately represent phenomena that would otherwise be difficult or impractical to analyze using traditional analytical methods. The integration of simulation techniques with optimization methods and error analysis facilitates the development of highly advanced predictive and analytical systems that are widely applied in industrial environments.

This master’s thesis focuses on the application of computer simulations in physics, where advanced mathematical models enable detailed analysis of physical processes and their interdependencies. Such simulations support hypothesis verification, prediction of experimental outcomes, and optimization of research procedures, significantly enhancing the efficiency and reliability of scientific investigations.

Computer simulations find extensive application across a broad range of industrial sectors. In the medical field, they support the design and testing of medical devices such as stents and endoprostheses, enabling accurate evaluation of structural strength, durability, and anatomical compatibility. In industrial engineering, simulations are employed for material strength analysis, optimization of manufacturing processes, and assessment of energy efficiency, leading to safer and more efficient solutions. In the aerospace and automotive industries, they are used to model aerodynamics, evaluate structural integrity, and predict material behavior under varying operating conditions. In the energy sector, simulations enable optimization of heating and cooling systems as well as improvements in nuclear reactor efficiency. Overall, computer simulations allow for the safe execution of tests that would otherwise be prohibitively expensive or hazardous, while also enabling solutions to be more effectively tailored to specific application requirements.