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第19行：
第19行： − 统计力学是现代物理学的支柱之一。这对于任何具有多个自由度的物理系统的基础研究是必要的。这种方法基于统计学方法、概率论和微观物理定律。+ 第27行：
第27行： − 它可以用来解释大系统的热力学行为。这个统计力学的分支，处理和扩展了经典热力学，被称为统计热力学或平衡统计力学。+ 第35行：
第35行： − 统计力学描述了宏观观察(如温度和压力)如何与围绕平均值波动的微观参数相关。它将热力学量(比如热容)与微观行为联系起来，而在经典热力学中，唯一可行的选择就是测量和列表各种材料的热力学量。+ 第43行：
第43行： − 统计力学也可以用来研究不平衡的系统。一个被称为非平衡统计力学(有时称为统计动力学)的重要分支涉及的问题是对不平衡驱动的不可逆过程的速度进行微观模拟。这种过程的例子包括化学反应或粒子和热的流动。涨落-耗散定理是应用非平衡态统计力学来研究多粒子系统中稳态电流流动的最简单的非平衡态情况所获得的基本知识。+
无编辑摘要
Statistical mechanics is one of the pillars of modern physics. It is necessary for the fundamental study of any physical system that has many degrees of freedom. The approach is based on statistical methods, probability theory and the microscopic physical laws.
Statistical mechanics is one of the pillars of modern physics. It is necessary for the fundamental study of any physical system that has many degrees of freedom. The approach is based on statistical methods, probability theory and the microscopic physical laws.
统计力学是现代物理学的支柱之一，对于任何具有多个自由度的物理系统的基础研究都很必要。统计力学的基础是统计学方法、概率论和微观物理定律。
It can be used to explain the thermodynamic behaviour of large systems. This branch of statistical mechanics, which treats and extends classical thermodynamics, is known as statistical thermodynamics or equilibrium statistical mechanics.
It can be used to explain the thermodynamic behaviour of large systems. This branch of statistical mechanics, which treats and extends classical thermodynamics, is known as statistical thermodynamics or equilibrium statistical mechanics.
统计力学可以用来解释大系统的热力学行为，其中一个分支处理和扩展了经典热力学，被称为统计热力学或平衡态统计力学。
Statistical mechanics describes how macroscopic observations (such as temperature and pressure) are related to microscopic parameters that fluctuate around an average. It connects thermodynamic quantities (such as heat capacity) to microscopic behavior, whereas, in classical thermodynamics, the only available option would be to measure and tabulate such quantities for various materials.
Statistical mechanics describes how macroscopic observations (such as temperature and pressure) are related to microscopic parameters that fluctuate around an average. It connects thermodynamic quantities (such as heat capacity) to microscopic behavior, whereas, in classical thermodynamics, the only available option would be to measure and tabulate such quantities for various materials.
统计力学描述了宏观观测量(如温度和压强)与围绕平均值波动的微观参数的关系。它将热力学量(比如热容)与微观行为联系起来，而在经典热力学中，唯一可行的选择就是测量和列出各种材料的热力学量。
Statistical mechanics can also be used to study systems that are out of equilibrium. An important subbranch known as non-equilibrium statistical mechanics (sometimes called statistical dynamics) deals with the issue of microscopically modelling the speed of irreversible processes that are driven by imbalances. Examples of such processes include chemical reactions or flows of particles and heat. The fluctuation–dissipation theorem is the basic knowledge obtained from applying non-equilibrium statistical mechanics to study the simplest non-equilibrium situation of a steady state current flow in a system of many particles.
Statistical mechanics can also be used to study systems that are out of equilibrium. An important subbranch known as non-equilibrium statistical mechanics (sometimes called statistical dynamics) deals with the issue of microscopically modelling the speed of irreversible processes that are driven by imbalances. Examples of such processes include chemical reactions or flows of particles and heat. The fluctuation–dissipation theorem is the basic knowledge obtained from applying non-equilibrium statistical mechanics to study the simplest non-equilibrium situation of a steady state current flow in a system of many particles.
统计力学也可以用来研究非平衡的系统。非平衡统计力学(有时称为统计动力学)是统计力学的重要分支，它涉及的问题是对由非平衡导致的不可逆过程的速度进行微观模拟。例如化学反应或粒子流和热流。涨落-耗散定理是人们从非平衡态统计力学中获得的基本知识，这是在应用非平衡态统计力学来研究多粒子系统中稳态电流流动这样的最简单的非平衡态情况下所发现的。