A computational approach for simulating fluid dynamics and other physical phenomena, particularly at the mesoscopic scale, employs a discretized space and time to model particle distribution functions. Implementations of this methodology often involve specialized programs designed to efficiently execute the complex calculations involved in fluid flow, heat transfer, and multiphase interactions. These programs provide a platform for researchers and engineers to explore diverse applications, from microfluidics to porous media flow.
The value of these implementations resides in their ability to handle complex geometries and boundary conditions with relative ease, offering advantages over traditional computational fluid dynamics methods in certain scenarios. Historically, the development of these tools has been driven by the need for efficient simulation techniques in areas such as aerospace, automotive engineering, and materials science, leading to continuous improvements in performance and accuracy. This has allowed for detailed exploration of various physical phenomena.
