• 如果我们计算气体混合过程中熵的变化,我们会发现这个量是正的。

    If we calculate the change in entropy during gas mixing, we will find that this quantity is positive.

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  • 所以混合中的熵是非常重要的。

    So entropy of mixing is really super important.

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  • 那就是,熵的项,当然,仍然存在。

    That is, the entropy term, of course, is still there.

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  • 如果你改变温度,熵也会变化。

    If you change the temperature entropy changes and so on.

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  • 对孤立系统,熵的变化是大于零的。

    Change in entropy is greater than zero for an isolated system.

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  • 所有这些都是由混合熵引起的。

    All driven by entropy of mixing.

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  • 它们在你们关于熵的笔记中。

    They're in your notes for entropy.

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  • 你有一块晶体,它的熵很低。

    You have a crystal, entropy's very small.

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  • 关于这些熵驱动的例子有什么问题吗?

    Any questions about these entropy driven cases?

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  • 只有熵在驱动这个混合过程。

    It's all entropy that's driving the mixture.

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  • 没有混合熵,我们得到的就是这条曲线。

    Without entropy of mixing, we would be sitting on this curve here.

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  • 对吗?体系是不是倾向于具有更多的熵?

    Do systems like to have more entropy?

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  • 体积发生变化,然后看熵如何发生变化。

    The volume is going to change, and we can see how the entropy changes.

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  • 这表明,你降低了能量,同时增加了熵。

    That is, you've got lower energy on the right and also higher entropy.

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  • 加入一点惰性气体,就会有一点混合熵。

    I add a little bit of inert gas, there's a little bit more entropy of mixing.

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  • 那就是说,混合后有熵变。

    Which is to say there's an entropy change in mixing.

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  • 对,熵!熵起了什么作用?

    Yeah. What about entropy, right?

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  • 那就是我们混合物的熵。

    So that's our entropy of mixing.

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  • 熵是指物体失序的趋势。

    Entropy is the tendency of things to disorder.

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  • 如此,一个新的,低熵的宇宙便可能产生。

    At this point, a new aeon with a low entropy state will begin.

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  • 不过那跟熵有什么关系?

    But what has that to do with entropy?

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  • 在这种情况下,熵为零。

    And in that case, the entropy is absolutely zero.

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  • 因此用图像的熵值来将其分级变得很简单。

    It is therefore easy to rank a collection of images by their entropy.

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  • 而熵是有绝对零点的,这就是我们学到的。

    There is an absolute zero of entropy, and that's really what we learn.

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  • 在这个简单的模型中,这个纯液体的熵是零。

    Well, in this simple model the entropy of the pure liquid is zero.

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  • 这就是熵和时间之箭。

    That's entropy and the arrow of time.

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  • 让我们来看看混合熵。

    Let's now look at the entropy of mixing.

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  • 为什么孤立系统的熵不会减少?

    Why does not entropy of isolated system decrease?

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  • 为什么孤立系统的熵不会减少?

    Why does not entropy of isolated system decrease?

    youdao

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