Editing Computational physics (section)

== Divisions ==

It is possible to find a corresponding computational branch for every major field in physics:

* [[Computational mechanics]] consists of [[computational fluid dynamics]] (CFD), computational [[solid mechanics]] and computational [[contact mechanics]].

* [[Computational electrodynamics]] is the process of modeling the interaction of [[electromagnetic fields]] with physical objects and the environment. One subfield at the confluence between CFD and electromagnetic modelling is [[computational magnetohydrodynamics]].

* [[Computational chemistry]] is a rapidly growing field that was developed due to the [[quantum many-body problem]].

* Computational [[solid state physics]] is a very important division of computational physics dealing directly with [[material science]].

* Computational [[statistical mechanics]] is a field related to computational [[condensed matter]] which deals with the simulation of models and theories (such as [[percolation]] and [[spin model]]s) that are difficult to solve otherwise.

* Computational [[statistical physics]] makes heavy use of Monte Carlo-like methods. More broadly, (particularly through the use of [[agent based modeling]] and [[cellular automata]]) it also concerns itself with  (and finds application in, through the use of its techniques) in the [[social sciences]], [[network theory]], and mathematical models for the propagation of disease (most notably, the [[Compartmental models in epidemiology#SIR Model on Networks|SIR Model]]) and the [[wildfire modeling|spread of forest fires]].

* [[Numerical relativity]] is a (relatively) new field interested in finding numerical solutions to the field equations of both [[special relativity]] and [[general relativity]].

* [[Computational particle physics]] deals with problems motivated by particle physics.

* [[Computational astrophysics]] is the application of these techniques and methods to astrophysical problems and phenomena.

* [[Computational biophysics]] is a branch of biophysics and [[computational biology]] itself, applying methods of computer science and physics to large complex biological problems.