Langevin Dynamics is a computational method used to simulate the motion of particles in a fluid. It combines classical mechanics with random forces to account for the effects of thermal fluctuations. This approach is particularly useful in studying systems at the microscopic scale, such as biomolecules or colloidal suspensions, where the influence of the surrounding environment is significant. In Langevin Dynamics, the motion of each particle is described by a set of equations that include both deterministic forces, like those from potential energy, and stochastic forces, which represent random collisions with surrounding molecules. This allows researchers to model how particles behave over time, providing insights into their dynamics and interactions.