And this is something that recurs in statistical mechanics, in an enormous number of systems where you have simplified limits. 这是反复出现的在统计力学中,在很多系统中,你会有简化的极限。
So in other words, macroscopic thermodynamic properties come straight out of our microscopic model of statistical mechanics. 换句话说,宏观的热力学性质可以,从微观模型,的统计力学得到。
And now we know how to calculate that from first principles, through statistical mechanics. 现在我们知道怎么,算自由能,通过统计力学计。
We'll start in on statistical mechanics. 开始讲授统计力学。
So this is a simple way to describe the statistical mechanics of filling an open volume. 所以这是一个用,来描述,填充开放空间的统计力学的简单方式。
We can analyze by statistical mechanics the behavior of the stellar substance. 我们能用统计力学方法来分析星体物质的性能。
This is something that you're going to prove in statistical mechanics, and so we're not going to worry about where this comes from. 我们会在统计力学中,证明这一结论,现在不需要去,操心这一结论的由来。
And saw how in the framework of statistical mechanics, we could derive the thermodynamic results that you saw before, based on an empirical framework. 并且看到在统计力学的框架下,我们能得到你们之前看到的,基于实验框架的热力学结果。
So actually if you look at early development of quantum mechanics, really it was all predicated on statistical mechanics. 那么实际上如果你看,量子力学的早期发展,它的确都是以统计力学为依据的。
This course is part of a two-course sequence in Statistical Mechanics. The web site features problem sets and exams. 本课程是统计力学的两个系列课程中的一个。本站点内包含课程的习题集和考试题。
Statistical mechanics: Branch of physics that combines the principles and procedures of statistics with the laws of Both classical mechanics and quantum mechanics. 统计力学:物理学的分支,将统计学的原理和方法与经典力学和量子力学的定律结合起来。
The purpose of this course is not only to give students a deeper understanding of thermodynamics and the principles of equilibrium statistical mechanics, but also to introduce them to the modern topics, such as Monte Carlo samplings, the renormalization group theory, and the fluctuation-dissipation theorem. 课程的目的是希望能让同学,除了对于热力学与平衡统计力学原理,有更深刻的了解外,能进一步接触到许多重要的课题,这包括蒙地卡罗取样、重整化群理论、与扰动-耗散定理。
A formalism of statistical mechanics of secondary structure of protein is established. 蛋白质二级结构预测问题是生物信息学的重要问题之一。
After that, the formalism of statistical mechanics takes over, and calculates partition functions and thermodynamic functions. 从那以后,都是统计力学的内容,计算配分函数,和热力学函数。
From a statistical mechanics point of view, it's just states and levels. 从统计力学角度看,它们就是态和能级。
In statistical mechanics and in thermodynamics. 在热力学或者统计力学中。
During this time he also contributed to the problems of the theory of radiation and statistical mechanics. 在此期间,他还对辐射问题的理论和统计力学。
It'll be statistical mechanics and then kinetics. 接着就是统计力学和分子运动学。
An extension of statistical mechanics based on quantum theory ( especially the Pauli exclusion principle); applies to the behavior of atoms and particles. 基于量子理论的统计力学:应用在原子与粒子的行为上。
PROFESSOR: So, last time we started in on a discussion of a new topic, with was statistical mechanics. 教授:上一节课我们开始,了一个新的题目,即统计力学。
And also start statistical mechanics. 并开始统计力学。
So these simpler limiting cases play a huge role in simplifying statistical mechanics and the calculations from them generally. 所以这些简单的极限的例子,起到重要的作用,在统计力学的简化,和通常的计算中。
And that's what statistical mechanics is all about. 这就是统计力学的要做的。
But again, if you know all the energies of the possible states, in the solid, in the liquid and the gas, statistical mechanics shows us that we can calculate the equilibrium between those. 但是,如果我们知道,物质在固相,液相和气相中所有可能态的能量,统计力学告诉我们,我们可以计算这些相的平衡问题。
And the theoretical formulation for it is what's called statistical mechanics. 这条途径的理论框架,叫做统计力学。
This understanding is a necessary prerequisite for additional study of Electromagnetism, Quantum Mechanics and Statistical Mechanics. 这是学习电磁学、量子力学和统计力学等后继课程所必需的。
You'd learn about statistical mechanics, and how the atomistic concepts rationalize thermodynamics. 你会学到在统计力学中,是如何用原子论的概念,阐释热力学的。
And that'll be it for this simple statistical mechanics. 这就是统计力学最简单的例子。
And the idea that, well, that you could then do the statistical mechanics with quantized levels, just the way we've done it. 思想是你可以,用量子化的能级处理统计力学,就像我们刚才做的。
the branch of physics that makes theoretical predictions about the behavior of macroscopic systems on the basis of statistical laws governing its component particles