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So before we conclude this lecture, I want to give you a short bonus lecture because we have already

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seen that graphene and also the topological properties and the quantum hall effect both got a Nobel

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Prize for physics.

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It may be one of the next Nobel Prizes will be awarded to the person who really understands the twisted

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bilayer of graphene, where you can see from some interesting patterns and we call this more' patterns

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omolara lattices.

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So we have you two graphene sheets orange and blue, and they are just slightly twisted with respect

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to each other.

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So you see here directly in the middle, the atoms are perfectly on top of each other.

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But then due to the twist, they will slightly be displaced.

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But of course, at some other point in space, they will once again be right on top of each other.

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And this brings about these nice, superlative structures, especially if you zoom out.

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I think you can see the bright spots here and the dark spots here and is just interesting from a geometrical

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point of view, but also pretty interesting from a physics point of view.

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Because these twisted by layers of graphene, they give rise to a very interesting phenomenon like superconductivity,

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for example.

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So let me show you how I created this figure.

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So here I do not want to go with you through all the programming process once again because it takes

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a lot of time.

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And I think you will not really learn something new because it's pretty similar to what we did before

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when we created, for example, this figure.

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So basically, what we're doing is instead of defining only a single, a single subset or a single layer

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with two subtle lattices, we will now define the coordinates for Subliners one and two folios one and

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two.

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So we will have sort of the force applied as this now and after I defined you a few variables, a few

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constants.

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I have just defined the letters vectors.

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So as previously for software, this one and then we have here and the letters vectors for some letters

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too, which are of course, rotated by the angle alpha.

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This you can do by multiplying this with cosine alpha and sine alpha.

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And as an example, the angle alpha here is something like two like two point six four degrees.

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And then from analytical considerations, we can calculate what is the letters vector for the super

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letters.

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So basically the vector going from this red dot to this red dot.

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And after we have done this, then we can also define some reciprocal letters vectors, which is not

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so important here.

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This is just for the visualization.

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And then, of course, we can finally construct our coordinate lattices as we did before by just calculating

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these linear combinations of these letters vectors off to letters one and off to some letters to.

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And then we are basically finished.

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We just have to plot this thing.

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And actually, this command, you would already be sufficient.

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So let me show you if you just write this, then we would already get our letters with the moiré structure,

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which is not really that well visible here because the resolution is too low.

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But what I did here is I added these this hexagon here for the unit cell and also these red dots for

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the next centers of the next unit cells.

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So as I said, this is a really a hot topic at the moment.

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So if you're interested, it would be nice to look into this and maybe you can even come up with some

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calculations.

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But please be warned it's a bit more difficult to set up the Hamilton matrix for such a system and then

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to solve it because the unit cells will be enormously large.

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And also, we have to really figure out all the bond directions and all the neighbors by numerical methods.

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So it will be way more difficult than what we did before.

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But in principle, from what you have learned in the previous lectures, it should be possible to solve

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such a problem as well, even though it will be much more time consuming and much more difficult.

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So, yeah, as I said, this may be a project that will get the next or one of the next Nobel Prizes

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in physics.

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Because these memory structures and these twisted by layers, they have some very interesting properties

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and they may solve large problems in physics.

