Does looking for solutions to the 3D Ising model? Or how about a percolation problem, or a vortex simulation, or a band-structure calculation, or a molecular dynamics simulation, or a heat flow calculation, or a diffusion problem, or ... ?dimensionless said:For some reason plotting the path of a baseball just doesn't spark my interest.
Well, one needs such techniques to solve any non linear differential equation or any such equation for multi particle systems. So, to study ANY physical system in a realistic manner (this means : incorporating enough variables) one requires such methodsdimensionless said:Are there many interesting computational physics problems out there? Are there any comet trajectories that will deviate from a standard ellipse? For some reason plotting the path of a baseball just doesn't spark my interest.
Yes. Numerical simulation is becoming more elaborate. There is a joint program between Argonne National Lab, Purdue University and several other organizations to develop the next generation of simulators for nuclear reactors with much greater resolution. It will use a 45 group neutron transport code coupled with a CFD (computational fluid dynamics) code. It could be taken a step further with the integration of a FEM thermo-mechanical code.dimensionless said:Are there many interesting computational physics problems out there?
Like Comet Shoemaker-Levy 9, which got caught by Jupiter?dimensionless said:Are there any comet trajectories that will deviate from a standard ellipse?
Computational physics is a branch of physics that uses computer simulations and mathematical algorithms to solve complex problems in physics that cannot be solved analytically. It involves using computers to model, simulate, and analyze physical systems and phenomena.
Computational physics has a wide range of applications in various fields such as astrophysics, materials science, fluid dynamics, quantum mechanics, and many more. It is used to study and predict the behavior of complex systems, simulate physical processes, and design new materials and technologies.
Traditional physics involves using mathematical equations and theories to describe and understand physical phenomena. Computational physics, on the other hand, uses computers and numerical methods to solve complex problems that cannot be solved analytically. It allows for more accurate and detailed simulations of physical systems.
Computational physics offers many benefits such as faster and more accurate calculations, the ability to model and simulate complex systems, and the ability to study physical phenomena that cannot be observed in real life. It also allows for the testing of theories and the development of new technologies.
Yes, computational physics can do much more than just numerical integration. It can be used for a variety of tasks such as solving differential equations, performing statistical analysis, simulating physical processes, and visualizing data. It is a powerful tool that can assist in solving a wide range of problems in physics and other scientific fields.