Computational physics is the study and provision of solutions to scientific problems through computational techniques and numericsal analysis. It merges principles from computer science, physics, and applied mathematics to create solutions for intricate scientific problems.
In complex physics problems, exact analytical solutions with precise mathematical expressions and formulas are very difficult to obtain or may not exist at all. Alternatively, using computer algorithms and numerical methods, computational physicis is the approach used to provide approximate solutions to these complex problems.
Computational physics adds to the traditional scientific approaches of theoretical and experimental research. It has been used to improve molecular modeling, design electronic circuits, understand protein structures, study atmospheric conditions, test and develop aerodynamic designs, and explore the material sciences.
Computational physics also allows algorithm development. Physicists in this field can create innovative algorithms and mathematical techniques to address challenging physical problems. Computational physics also uses powerful computing systems to conduct simulations and address complex physics problems. In addition, it enables the creation of simulations for complex physical systems that cannot be explored through experimental methods.
Beyond scientific research, computational physics also finds applications across various industries like engineering, finance, and healthcare. It optimizes processes, solves intricate and challenging problems, and drives innovation. For instance, it can streamline engineering designs, enhance risk modeling in finance, or support medical imaging and diagnostics in healthcare.
