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Non Equilibrium Statistical Mechanics is a branch of physics that deals with the study of systems that are not in thermodynamic equilibrium. This includes systems that are in a state of constant change or have imbalances in temperature, pressure, or other properties.
In Equilibrium Statistical Mechanics, the system is assumed to be in a state of thermodynamic equilibrium, meaning it is at a stable, unchanging state. Non Equilibrium Statistical Mechanics, on the other hand, deals with systems that are constantly changing and not in equilibrium.
Examples of Non Equilibrium Systems include chemical reactions, fluid flow, and heat transfer processes. These are all systems that involve changes in temperature, pressure, and other properties over time.
The main principles of Non Equilibrium Statistical Mechanics include the concept of entropy, which measures the disorder or randomness of a system, and the Boltzmann equation, which relates the entropy of a system to its microscopic properties.
Non Equilibrium Statistical Mechanics is important because it allows us to understand and predict the behavior of systems that are not in equilibrium. This is crucial in many areas of science, such as chemistry, biology, and engineering, where systems are often in a state of constant change and flux.