I quite like .ion or .iot

What about HPE slingshot? This list is clearly incomplete.

The sun’s spectrum at the earth surface peaks in the green color range, which should make green the most efficient choice. Although, I wonder why they have to absorb only a single or a narrow band of color.

Without knowing much about psychology, I would imagine separating the mindset into a set of orthogonal axis is pretty difficult and certainly the normal range would probably not follow a normal distribution in each axis. As a result the N-dimensional volume would not be a N-sphere but some complex topological shape. Possibly even consisting of multiple disjointed sets. If any of these assumptions are true then the global point average over the entire space may lie outside many of the “normal” ranges.

Det er en god pointe. Men jeg tænker også det er muligt at kombinere mit forslag med et typisk grundforløb. F.eks. Kunne man lave en ny merit evaluering på gymnasiet, (en prøve eller karaktergennemsnit etc.) som ville i kombination med folkeskolens data ville give dig adgang til bestemte A-fag eller linjer.

Det er måske ikke en køn løsning, men jeg føler at hvis vi skal lave fast merit baseret frasortering, kan vi lige så godt gøre det ordentligt i stedet for at bruge et halv-arbitrært tal bare fordi det er nemt.

Det er selvfølgelig også et spørgsmål om man vægter ‘generalister’ højere end ‘specialister’ når det kommer til det gymnasielle niveau.

Jeg har altid syntes at det overordnede karaktergennemsnit er et alt for rigidt et adgangskriterie. Det er jo et gennemsnit af gennemsnit der ikke siger meget om ens kompetencer. I stedet for kunne man kun tage udgangspunkt i de afsluttende karakterer som var relavant for den enkelte uddannelse. Ellers ender du med unge der ikke kommer på et teknisk gymnasie på grund af deres tysk og religion karakterer, og unge der ikke kommer ind på en sproglig almen gymnasie linje på grund af deres matematik og fysik og kemi karakterer.

Imagine there are two balls, a red and a blue. You want to communicate to your friend rolling the only blue ball to them. In a ferromagnet there are only blue balls, in an antiferromagnet the blue and red balls are glued together and in an altermagnet there are both balls but they go in different directions so you just need to orient yourself correctly.

The antiferromagnet can’t be used for spintronics, the ferromagnet can but big magnetic field disturb other parts in a circuit.

Altermagnets are pretty interesting because their most defining feature is not the magnetic order in the materials. They look like ordinary antiferromagnets where the spins of adjacent atoms point in opposite direction and compensate each other, so no large magnetic fields are created. What differentiate altermagnets from antiferromagnets is how the electrons with different spin behave. When pulling current through altermagnets it will consist of purely spin up electrons along one crystal axis and purely spin down along orthogonal crystal axes. Thus the spin currents have a ‘alternating’ pattern, giving the name altermagnet. This is primarily exciting for the field of ‘spintronics’ which is all about creating technologies using spin currents.

Not all altermagnets are equally interesting, many antiferromagnets can be reclassified to altermagnets but they are generally insulating. (fun fact the first ever measured and textbook antiferromaget MnF2 is actually altermagnetic) So materials discovery of new altermagnets is important to find metallic, semi-metallic or even super conducting altermagnets.

I feel like I met some recursive endgame boss… I made a penguapplepenguinpenguapplepenguapplepenguin partially from pineapples and penguins and something else I spam combined

R

0.5% of eluveitie at 1443 minutes, I suppose not too impressive considering 907k monthly listeners. But I’m a varied listener

This certainly could be part of the motivation for publishing it this way, to make themselves more noticed by the big players. Btw, publishing in open source nature is expensive, it’s like 6-8000 euro for the big ones, so there definitely is a reason.

While in not in the field either, I do know that it is quite unusual in computer science academics to publish in actual peer reviewed journals. This is because it can be a long process, and the field is very fast moving, so your results would be outdated by the time you publish. Thus, a paper is typically synonymous with a conference proceeding, and can be found on arxiv. I found this Paper on the arxiv from 2017/2018 which seems to be when this paper was originally published for the scientific community and presented at a very “good” (if I had to guess) conference. Google scholar says this paper has 650 citations, so it probably has had quite some impact. However, I would guess this method is well known and is already implemented in many models, if it was truly disruptive.

The article linked here is rubbish, CrSBr is not a meta material and also not a superconductor. It is a layered semiconductor. However, the Nature article they link to is quite interesting. The background is in cavity engineering, which is where one tries to modify intrinsic material properties by coupling to light “strongly”. This is usually done by creating a cavity (think two opposing mirrors around the material) and have light bounce back and forth.

Here instead they don’t need to use mirrors, but the refractive index is different enough to trap light in the material, and the electronic properties seem to be quite sensitive to the light because the magnetic phase is sensitive to magnetic fields and the different magnetic phases have quite different electronic properties. So all in all they find a strong light-matter coupling but only below 132K (the critical temperature of the magnetic phase).

Danish prices seem unchanged.

In one discord channel my alias is Bread due to an old joke when we played monster prom. Im loving these bread themed memes.