SUMMARY
Computational physics is not a standalone PhD area but rather a tool utilized across various branches of physics, including condensed matter physics and astrophysics. It can be classified as either theoretical or experimental depending on the focus of the research; running simulations and analyzing results leans towards experimental, while developing numerical methods aligns with theoretical physics. Many universities, such as UCF and USF, have dedicated computational physics research groups. Resources like Gradschoolshopper.com can assist prospective students in finding relevant programs.
PREREQUISITES
- Understanding of numerical methods in physics
- Familiarity with simulation software used in computational physics
- Knowledge of theoretical and experimental physics concepts
- Basic programming skills for coding simulations
NEXT STEPS
- Research numerical methods in computational physics
- Explore simulation software options such as MATLAB or Python libraries
- Investigate specific branches like computational materials physics or computational astrophysics
- Visit Gradschoolshopper.com to find PhD programs focused on computational physics
USEFUL FOR
Physics graduate students, researchers in theoretical and experimental physics, and anyone interested in applying computational techniques to various physics disciplines.