Computational Physics
Computational Physics refers to the application of computational methods and algorithms to solve problems in physics, often involving complex systems and phenomena that are difficult to study analytically. In the context of Fluid Mechanics, Computational Physics involves the use of numerical techniques to simulate and analyze fluid flow and related phenomena, such as heat transfer, mass transport, and turbulence. This can involve a wide range of methods, from simple finite difference schemes to sophisticated finite element and lattice Boltzmann approaches. The goal is to gain insight into the behavior of fluids and develop a deeper understanding of the physical principles that govern their motion. By leveraging the power of modern computers, Computational Physics provides a powerful tool for making predictions about fluid behavior and designing engineering systems that can harness or control fluid flow.
External Links
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- [cm4p.org] Computational Methods in Multi-Scale, Multi-uncertainty and Multi-physics Problems | Porto | 11-13 September
- [cm3p.org] Computational Methods for Multi-scale, Multi-uncertainty and Multi-physics Problems – CM3P Conference
- [BiologicalPhysics.org] Computational Biological Physics Lab