0:00:09 | grand means of making material prescott's you might think the structure it would be simple |
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0:00:14 | is a single mathematic of carbon atoms |
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0:00:17 | range and hexagonal structure kind of like the chicken one |
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0:00:20 | however previous research has found that is not one but rather is riddled with distorted |
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0:00:25 | the wavelength of these ripples and grapheme is a few nine images to twenty five |
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0:00:29 | millimetres |
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0:00:30 | and their amplitude is about one animators and then really surprising because they have a |
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0:00:33 | high strain energy and the impact on the chart chapel properties |
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0:00:38 | university work we will not a graphing but it can be modified gradually |
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0:00:42 | we wanted to overcome any modified reference graph not so i can be reduced greatly |
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0:00:46 | outside these two most widely studied homes of can be modified gradually i have many |
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0:00:52 | applications ranging from corpus it's possible texts consensus |
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0:00:56 | the cycle and structures can be modified gradually still not well understood |
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0:01:01 | despite not surprising things teacher ratio roughly two to one right outside you also maintain |
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0:01:07 | large areas of wrapping like a weaker design using my thinking |
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0:01:14 | and used it using the solution you know that the then we by dropping the |
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0:01:20 | drawable web site or used right side deletion of the double e g and rate |
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0:01:28 | this produces a good coverage of working on my laptop with it |
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0:01:33 | when we look at the samples in tm we find that crappy oxide is nearly |
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0:01:39 | transparent and is robust to the electron beam |
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0:01:43 | electron diffraction shows at this thing to think that was structure the in a spot |
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0:01:48 | are more intense than the out the ones |
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0:01:51 | as we discussed in the paper this is a this thing this signature or single-layer |
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0:01:56 | grapheme |
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0:01:57 | we can learn more about the structure of a grapheme actually by using a electron |
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0:02:02 | fraction |
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0:02:03 | and in particular we can then more as we have |
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0:02:07 | we sampling them on the slopes move that you to appreciate because the projective distance |
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0:02:12 | yes more details |
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0:02:15 | so that's what about |
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0:02:17 | but more interestingly of the robustness and the rippling initiate it how the spots based |
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0:02:24 | here because of the clean and she becomes much more apparent that you tell so |
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0:02:29 | looking at the way that the spots walden disappear you increase the tilt angle allows |
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0:02:35 | us to work out what structure of the graph |
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0:02:38 | we find that the rate at which that's what role than you actually greater the |
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0:02:42 | graphing upside then was previously reported that roughly |
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0:02:46 | and aligned graphing the spots were linearly with so that they rather go after them |
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0:02:53 | in order to understand the broadening of abstraction peaks with tilt angle we considered to |
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0:02:58 | be radically various height modulations in the graph in sheets |
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0:03:03 | one way we can do this is by considering all the long-range variations and then |
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0:03:08 | we can show theoretically that they would just need to broadening of the peaks but |
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0:03:13 | if we consider short range variations at the optimistic sort of scalar copying we can |
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0:03:18 | find that this leads to side peaks appearing mood detection peaks appearing |
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0:03:23 | next to the standard peaks we've done that analytically what we also done that numerically |
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0:03:29 | we have shown as a function of the tended and how the detection peak woodbury |
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0:03:34 | and what we see in the upper row is what would happen if we had |
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0:03:37 | a few short range variations in the height |
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0:03:40 | and you see besides the dominant lightly coloured sort of the main p or yellow |
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0:03:44 | line you see side peaks appearing at other positions |
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0:03:48 | the second row shows that when the average all the menu such distortions the net |
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0:03:53 | effect is a broadening |
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0:03:55 | the single peak this broadening is pasta than in here as in the experiments and |
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0:04:00 | hence different but long-range distortion |
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0:04:03 | so the more investigations |
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0:04:05 | but i have and election diffraction |
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0:04:08 | clearly indicate that the topography a graph you know oxide is different that previously reported |
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0:04:12 | the graph at the level constraint induced by the functional annotation |
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0:04:17 | "'cause" it sure range correlations in the graph like lattice of the graphing oxide and |
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0:04:21 | the magnitude of these distortions is about ten of the column culpable spacing |
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0:04:26 | now we describe an outside appears to be similar |
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0:04:29 | and that's consistent with the observations of the conductivity |
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0:04:32 | of which is cracking oxide is orders of magnitude lower than mechanically exfoliating graphing |
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0:04:37 | the local strain will have important implications |
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0:04:41 | by the mechanical properties and the chemical reactivity |
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