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Steepest-entropy-ascent quantum thermodynamic modeling of the relaxation process of isolated chemically reactive systems using density of states and the concept of hypoequilibrium state

机译:使用态密度和低平衡态概念对孤立化学反应体系的弛豫过程进行最陡熵上升量子热力学建模

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This paper presents a study of the nonequilibrium relaxation process of chemically reactive systems using steepest-entropy-ascent quantum thermodynamics (SEAQT). The trajectory of the chemical reaction, i.e., the accessible intermediate states, is predicted and discussed. The prediction is made using a thermodynamic-ensemble approach, which does not require detailed information about the particle mechanics involved (e.g., the collision of particles). Instead, modeling the kinetics and dynamics of the relaxation process is based on the principle of steepest-entropy ascent (SEA) or maximum-entropy production, which suggests a constrained gradient dynamics in state space. The SEAQT framework is based on general definitions for energy and entropy and at least theoretically enables the prediction of the nonequilibrium relaxation of system state at all temporal and spatial scales. However, to make this not just theoretically but computationally possible, the concept of density of states is introduced to simplify the application of the relaxation model, which in effect extends the application of the SEAQT framework even to infinite energy eigenlevel systems. The energy eigenstructure of the reactive system considered here consists of an extremely large number of such levels (on the order of 10(130)) and yields to the quasicontinuous assumption. The principle of SEA results in a unique trajectory of system thermodynamic state evolution in Hilbert space in the nonequilibrium realm, even far from equilibrium. To describe this trajectory, the concepts of subsystem hypoequilibrium state and temperature are introduced and used to characterize each system-level, nonequilibrium state. This definition of temperature is fundamental rather than phenomenological and is a generalization of the temperature defined at stable equilibrium. In addition, to deal with the large number of energy eigenlevels, the equation of motion is formulated on the basis of the density of states and a set of associated degeneracies. Their significance for the nonequilibrium evolution of system state is discussed. For the application presented, the numerical method used is described and is based on the density of states, which is specifically developed to solve the SEAQT equation of motion. Results for different kinds of initial nonequilibrium conditions, i.e., those for gamma and Maxwellian distributions, are studied. The advantage of the concept of hypoequilibrium state in studying nonequilibrium trajectories is discussed.
机译:本文利用最陡的熵上升量子热力学(SEAQT)对化学反应体系的非平衡弛豫过程进行了研究。化学反应的轨迹,即可接近的中间状态,被预测和讨论。使用热力学集成方法进行预测,该方法不需要有关所涉及的粒子力学(例如,粒子碰撞)的详细信息。相反,对松弛过程的动力学和动力学建模是基于最陡熵上升(SEA)或最大熵产生的原理,这表明状态空间中的梯度动力学受约束。 SEAQT框架基于能量和熵的一般定义,并且至少在理论上支持在所有时间和空间尺度上预测系统状态的非平衡弛豫。但是,为了使这不仅在理论上而且在计算上成为可能,引入了状态密度的概念以简化松弛模型的应用,这实际上将SEAQT框架的应用甚至扩展到了无限能量本征级系统。这里考虑的反应性系统的能量本征结构包括大量这样的能级(大约为10(130)),并且屈服为准连续假设。 SEA的原理导致非平衡领域中希尔伯特空间中系统热力学状态演化的唯一轨迹,甚至远非平衡。为了描述该轨迹,引入了子系统不平衡状态和温度的概念,并将其用于表征每个系统级的非平衡状态。温度的定义是基本的,而不是现象学的,是对在稳定平衡时定义的温度的概括。另外,为了处理大量的能量本征级,根据状态的密度和一组相关的简并性来制定运动方程。讨论了它们对于系统状态的非平衡演化的意义。对于提出的应用,将描述所使用的数值方法,该方法基于状态密度,该状态方法专门用于解决SEAQT运动方程。研究了不同类型的初始非平衡条件的结果,即伽马和麦克斯韦分布的结果。讨论了非平衡状态概念在研究非平衡轨迹方面的优势。

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