Computational Physics

Computers empower us to help broaden and deepen our reasoning of physics by immensely increasing the array of mathematical calculations which we can conveniently perform. Computational physics is a quickly growing subfield of computational science, in large part because computers can solve previously recalcitrant problems or imitate natural processes that do not have objective solutions.  Computational physics may be loosely defined as 'the science of using computers to aid in the solution of physical problems, and to further research in physics. Computers now play a vital role in almost every offshoot of physics and some illustration of areas that lie within the setting of computational physics like large scale quantum mechanical reckoning in nuclear, atomic, molecular and condensed matter physics, Large scale calculations in such spheres as hydrodynamics, astrophysics, plasma physics, meteorology and geophysics, fluid dynamics, simulation and modelling of intricate physical systems such as those that occur in condensed matter physics, medical physics and industrial applications, Experimental data processing and image processing and Computer algebra; development and applications.

  • Computations in Theoretical Physics
  • Computational materials science
  • Simulation of physical Systems
  • Computational lattice field theory
  • Integration of ODEs
  • Poisson equation
  • Monte Carlo methods
  • Experimental data processing
  • Quantum computation and information
  • Python in computational physics
  • Computer algebra
  • Algorithms and tools
  • Software techniques and networking

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