Imagine that you design the perfect cake. Due to the combination of different layers of ingredients, it will have awesome unrealistic properties. A #meta cake!

But: will the structure withstand the temperatures needed during baking?

Thread on my paper 👇
onlinelibrary.wiley.com/doi/10.1002/ad… https://www.epicurious.com/expert-advice/how-to-fix-a-broken
Instead of a cake, we designed a near-perfect absorber.

Less than 0.1% of the light hitting it can escape it!

How is that possible? By disorder!

Turns out that having the layers of ingredients intermix a bit makes an even better cake!

1st lesson: it's not always worth it to find a fabrication technique that avoids intermixing.

Those techniques are way slower and don't necessarily improve their properties.

A step towards scalable, large-area #metamaterials.

A material with such a high absorption would be great for solar energy solutions such as thermophotovoltaics... if it would withstand high temperatures.

That's why the next step was to put it in the oven at different temperatures.

High temperatures mean different things to different communities. In metallurgy, we typically compare the "homologous temperature", which is the temperature divided by the melting point of the material.

Everything above 30% of the homologous T is considered high temperature.
Turns out that our metamaterial still has awesome properties at almost 50% of its melting point, very very hot!

However, when we cut the cake baked at that temperature and look at its structure, the lower layers are gone without affecting its properties.
And when I say "cut and look", that is exactly what we do.

This tweet plays with that concept, exemplifying what we do with a focussed ion beam (FIB) and an electron microscope (SEM) at smaller scales:

So our cake still has its abnormally cool optical properties at high temperatures, even though the structure has began to degrade.

How is that possible?

Yet another prove that disorder isn't necessarily a bad thing!
The structure of the cake only degrades in the lower layers in this regime. The upper layers are untouched!

We know because we cut alternated cutting a bit more of the cake with taking pictures, and reconstructed all the images in a #3D tomography!
So, why does the cake start breaking at the bottom? Understanding that could help us identify why the degradation is happening and what is driving it.

We did simulations on our 3D structures to find out, and we compared how important the different driving forces are.
There are basically three reasons for degradation :
1 dissolve in each other (not here)
2 move to try to minimize the area of one element that is in contact with the other
3 move to minimize how stressed they are.
Most literature focusses on 2, but we find that 3 is dominating!
The cherry on top of the cake is to confirm this experimentally: if we change the stacking order, we can change where the instability starts: now it starts on the top cos a different force dominates.

And top of that, the evaporation temperature also changes! Double cherry!
This is not the sweetest research carried out in our lab recently though!

aip.scitation.org/doi/abs/10.106…

ethz.ch/en/news-and-ev…

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More from @RealSci_Nano

Nov 6
I still don't know what kind of job I want to do after I finish my PhD.

But at least I found the answer to what kind of job I do not want:

I don't want a bullshit job!

(and they are way more common than we want to admit, even among "blue-collar" jobs.

en.wikipedia.org/wiki/Bullshit_…
BS job="a form of paid employment that is so completely pointless, unnecessary, or pernicious that even the employee cannot justify its existence even though, as part of the conditions of employment, the employee feels obliged to pretend that this is not the case."
I promised that I would talk about career opportunities after the PhD and other @AltAcChats using a university-organized event that I attended this week.

Well, I was recommended not to, sorry!

However, this book (50% read atm) is helping me clarify that.
Read 5 tweets
Nov 6
If you have been folowing the account his week, you might have guessed that I have a thing for definitions and debates over definitions.

What is a metal?



What is a metamaterial?



And now: what is a cake?

That is the discussion that delayed our lab's (@LNM_eth) baking competitions.

Do cakes need to be sweet?

Are all cakes flour based?

Are all cakes layered?

Are all cakes round?

(and much more)
Maybe the reason for this discussion is that we discussed it in Switzerland, a country known for its polyglotism:

Turns out that @Wikipedia defines it differently in different languages!

In French, for example, salty cakes pass the filter:

fr.wikipedia.org/wiki/G%C3%A2te…
Read 6 tweets
Nov 4
On Wednesday I tried to define a #metamaterial.

Now it's time to define #metals, which should be way easier, right?

Spoiler: even in a #metallurgy group @LNM_eth, not everyone agrees!

First a list of "high-school science" definitions that don't really help us. The

"Metals are reflective": Yes but not all reflective things are metals. Not definition friendly. Image
"Metals are ductile and malleable, easy to work with": Not necessarily. Good luck working with Tungsten, which is definitely metal.

This article tells a bit about how hard making the Tungsten filaments that we used on lights was!

americanscientist.org/article/tungst…
Read 16 tweets
Oct 6
Finally, the thread (you didn't know) you have been waiting for 🥳 "How can we use X-ray scattering to learn about the way the atoms sit in a #small #nanoparticle?" - lets use the Pair Distribution Function #PDF ! It's all about the neighbors 1/6 /@RPittkowski
To get information from small #nanoparticles, where periodic lattice planes are rare, we measure the X-ray scattering to very large scattering angles. This is called #Xray #totalscattering. So we need to come veeeery close with the detector to our sample.😱😬 2/6
Again, we integrate our scattering image (check up older tweets), but we are not done yet. More data treatment is necessary. We use a #Fouriertransform and transform from reciprocal (Q) space to #real #space - and there we have it, our PDF 😍3/6
Read 6 tweets
Oct 6
After yesterday's Nobel celebration we are back on track . I believe I promised something on #data #analysis
A thread 🧵on how we extract the data from our #robot beamtime @desynews @p021_desy and how we figure out the #arrangement of #atoms in our samples /@RPittkowski 1/6
We get these beautiful 2D images from where the #scattered #X-ray beam hits the detector plate. What you see below is the scattering recorded for LaB6 - not surprising that we use it as a standard for calibration when you look at the beautiful #rings 2/6
By radial integration we get a 1D diffraction pattern, which shows distinct Bragg peaks for each ring on the 2D image. I made a very boring #GIF where you can see how the #rings relate to #peaks in the pattern 3/6
Read 6 tweets
Oct 4
I will try to give you a little #glimpse of the experiments we were running the past days at the P02.1 beamline at DESY @p021_desy
The experiments did involve a #robot 🤓🤖 and many, many tiny glass capillaries....

A #thread 🧵 with a robot #video 1/6 @RPittkowski Image
First, we place capillaries filled with #nanoparticles (small glass tubes) on a holder, which the robot can later grab. This involves a lot of wax and steady hands, to place the capillaries in a straight way. In the picture you can see a sample rack full of capillaries. 2/6 Image
Here you can see a sample spinning in the lab, to check if the capillaries are straight, or if we need to move them a little to even out any wobbling👩‍🔬- we can melt the wax again and angle them new 3/6
Read 6 tweets

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