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Understanding the stability of equilibrium configurations is a fundamental part of mechanical engineering. In any system, there are three distinct types of equilibrium: stable, neutral, and unstable.
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In the Carnot engine, which achieves the maximum efficiency between two reservoirs of fixed temperatures, the total change in entropy is zero. The observation can be generalized by considering any reversible cyclic process consisting of many Carnot cycles. Thus, it can be stated that the total entropy change of any ideal reversible cycle is zero.
The statement can be further generalized to prove that entropy is a state function. Take a cyclic process between any two points on a p-V diagram.
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A reversible chemical reaction represents a chemical process that proceeds in both forward (left to right) and reverse (right to left) directions. When the rates of the forward and reverse reactions are equal, the concentrations of the reactant and product species remain constant over time and the system is at equilibrium. A special double arrow is used to emphasize the reversible nature of the reaction. The relative concentrations of reactants and products in equilibrium systems vary greatly;...
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Chemical reactions often occur in a stepwise fashion involving two or more distinct reactions taking place in a sequence. A balanced equation indicates the reacting species and the product species, but it reveals no details about how the reaction occurs at the molecular level. The reaction mechanism (or reaction path) provides details regarding the precise, step-by-step process by which a reaction occurs. Each of the steps in a reaction mechanism is called an elementary reaction. These...
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In pharmacokinetics, the rates and order of reactions play a crucial role in understanding how the body processes drugs and help us comprehend drug absorption, distribution, metabolism, and elimination. A critical concept in pharmacokinetics is the rate constant, which quantifies the speed of a reaction. It provides valuable information about the kinetics of drug elimination. The rate constant allows us to determine the rate at which drugs are eliminated from the body.
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在一个弱随机反应-扩散系统中的相位共存.

Yusuke Yanagisawa1, Shin-Ichi Sasa1

  • 1Kyoto University, Department of Physics, Kyoto 606-8502, Japan.

Physical review. E
|February 20, 2025
PubMed
概括

我们在不使用连续模型的情况下研究了反应-扩散系统中的相位共存. 阶段共存条件取决于船只之间的跳跃率,具有高低率的独特潜力.

科学领域:

  • 化学动力学 化学动力学
  • 统计力学就是统计力学.
  • 非平衡的系统是不平衡的.

背景情况:

  • 反应-扩散系统对于理解化学和生物学中的模式形成和复杂行为至关重要.
  • 阶段共存,即不同的化学状态共存,是可二相系统中的一个关键现象.
  • 连续性近似经常被使用,但在空间扩展的系统中可能会掩盖离散效应.

研究的目的:

  • 在不依赖连续描述的情况下,研究弱随机反应扩散系统中的相位共存.
  • 在N接近无限时,在 (2N+1) 扩散合容器系统中推导相位共存的条件.
  • 分析相位共存对邻近容器之间的粒子跳跃率的依赖性.

主要方法:

  • 开发一个离散模型的反应-扩散系统与双可变的动力学.
  • 在热力学极限 (N→∞) 中引出相位共存条件.
  • 分析系统在高跳率和低跳率模式中的行为.

主要成果:

  • 对于离散反应-扩散系统来说,还得出相位共存的条件.
  • 发现相位共存条件取决于船只之间的跳跃率.
  • 对于高和低跳转率极限,确定了控制相位共存的不同潜力,这些潜力来自单容器反应动力学.

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结论:

  • 在弱随机反应-扩散系统中的相位共存可以在没有连续性近似的情况下被理解.
  • 离散空间位置之间的跳跃率在确定相位共存方面发挥着关键作用.
  • 衍生潜能提供了对宏观相位分离背后的微观机制的见解.