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能量景观中的鞍点:广延性与热力学形式论

Saddles in the energy landscape: extensivity and thermodynamic formalism.

作者信息

Shell M Scott, Debenedetti Pablo G, Panagiotopoulos Athanassios Z

机构信息

Department of Chemical Engineering, Princeton University, Princeton, New Jersey 08544, USA.

出版信息

Phys Rev Lett. 2004 Jan 23;92(3):035506. doi: 10.1103/PhysRevLett.92.035506.

Abstract

We formally extend the energy landscape approach for the thermodynamics of liquids to account for saddle points. By considering the extensive nature of macroscopic potential energies, we derive the scaling behavior of saddles with system size, as well as several approximations for the properties of low-order saddles (i.e., those with only a few unstable directions). We then cast the canonical partition function in a saddle-explicit form and develop, for the first time, a rigorous energy landscape approach capable of reproducing trends observed in simulations, in particular, the temperature dependence of the energy and fractional order of sampled saddles.

摘要

我们正式将用于液体热力学的能量景观方法进行扩展,以考虑鞍点。通过考虑宏观势能的广延性质,我们推导了鞍点随系统尺寸的标度行为,以及关于低阶鞍点(即那些只有少数不稳定方向的鞍点)性质的几种近似。然后,我们将正则配分函数写成显含鞍点的形式,并首次开发了一种严格的能量景观方法,该方法能够重现模拟中观察到的趋势,特别是能量的温度依赖性和采样鞍点的分数阶。

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