#FridayPhysicsFun – Normal crystals consist of atoms or molecules arranged in a regular lattice. Recently there has been experimental demonstrations of 2D Wigner crystals – crystals made of just electrons. quantamagazine.org/physicists-cre…
The idea is pretty old: Eugene Wigner proposed in 1934 that electrons would repel each other and if the density was low enough form a lattice. The repulsion dominates over the kinetic energy and makes it “solid”. en.wikipedia.org/wiki/Wigner_cr…
Too high density and they “quantum melt” as the kinetic energy dominates and the lattice dissolves. Too high temperature and they melt normally because of thermal vibration. 3D Wigner crystals need a lower density than 2D crystals to solidify.
Previous work involved 1D crystals, quantum dots, on liquid helium or using magnetic fields (uncertain). The recent results involve electrons trapped in thin conducting layers, forming a neat triangular lattice. arxiv.org/abs/2010.03037arxiv.org/abs/2010.03078
In quantum dots one can keep a handful of electrons, forming a “Wigner molecule” where they arrange themselves neatly. arxiv.org/abs/0711.0637
The same is true for the crystals on liquid helium: electrons can float on the helium, forming “nanoislands”. There has been interest in turning them into qubits for quantum computing. physics.aps.org/articles/v2/4 en.wikipedia.org/wiki/Electron-…
Ions trapped in ion traps also form similar patterns.
These patterns are related to “The Thomson problem”, how to distribute N charges on or in a sphere or other shape with minimal energy. J.J. Thomson tried to construct an atomic model based on this in 1905. ub.edu/hcub/hfq/sites… en.wikipedia.org/wiki/Thomson_p…
The problem of distributing points evenly is found in lot of applications, such as half-toning in graphics. You want even distances yet avoid too regular pattern. Random distribution doesn’t cut it but melted Wigner crystal does. en.wikipedia.org/wiki/Ditherpage.math.tu-berlin.de/~steidl/PDFs/G…
While Wigner crystals are fragile on Earth, the counterpart where ionized nuclei form a crystal surrounded by a sea of electrons, Coulomb crystals, are believed to form much of white dwarfs and the crust of neutron stars. They are potentially very strong.
I have been interested in Wigner crystals held in the potential of neutrino stars as a very hypothetical computational medium for very far future computing. They would be stable against proton decay, and maybe able to perform collision-based computation. hal.archives-ouvertes.fr/hal-00461197/d…
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#FridayPhysicsFun – I am back home in the apartment where I grew up on the 11th floor. That is about 30 m down to the street, and as a kid I often considered the fate of toys dropped from the balcony. How does falling really work? en.wikipedia.org/wiki/Hagalund
The schoolbook answer is that the gravitational force F=mg accelerates the object as per Newton’s second law of motion F=ma and the falling object has an acceleration a=g because the mass factor cancels from both equations.
The velocity becomes v(t)=gt at time t, and the distance travelled d(t)=(1/2)gt^2. I remember kid-me inverting the later formula to t=sqrt(2h/g) and checking by dropping marbles that they took about 2.47 s to hit the ground. Fortunately nobody got hurt.
Yet another rediscovery that simplified abstractions of neurons are simpler than the real thing! quantamagazine.org/how-computatio… To be fair, Beniaguev, Segev & London have a neat way of quantifying it using a kind of circuit complexity: doi.org/10.1016/j.neur…
IMHO the coolest result is that the NMDA receptors contribute a lot of the complexity in biological neurons: leave them out, and things simplify a lot. They are well placed to change properties deeply based on experience.
On the other hand, the fact that even ReLU-sum-of-weighted-input artificial neurons are not just computationally universal but actually work really well for real applications hint that maybe complex neurons are overrated.
This paper from @CSERCambridge is a great example of systems thinking in GCRs: looking for pinch points where global infrastructure concentrates near natural hazards. nature.com/articles/s4146…
Many things get drawn close to hazards: Teheran is on a fault line that provides good water, container ports on cheap flat land close to the sea vulnerable to storm surge and sea rise, people live in Florida because weather that also enables hurricanes.
Good geothermal and cooling are drawing data centers to Iceland. The Mediterranean and Bay Area complex geology make them attractive but geologically "exciting". en.wikipedia.org/wiki/Marsili
"You are standing in an open field west of a white house, with a boarded front door. There is a small mailbox here." (VQGAN+CLIP seems somewhat obsessed with the mailbox.)
"You are behind the white house. A path leads into the forest to the east. In one corner of the house there is a small window which is slightly ajar."
"You are in the living room. There is a doorway to the east, a wooden door with strange gothic lettering to the west, which appears to be nailed shut, a trophy case, and a large oriental rug in the center of the room. Above the trophy case hangs an elvish sword of great anti..."
If the Hampshire et al. thelancet.com/journals/eclin… findings of cognitive deficits in people with long covid hold up they seem to be a strong reason to promote development of cognitive enhancer methods.
Were one to equate the deficits to IQ points and assume a population like this cohort (dodgy, of course) this corresponds to a mean decline of 0.1 IQ points across the population (~0.6 for covid cases). Smaller than typical childhood lead exposure numbers, but still...
While hopefully there is some neat single cause of the cognitive deficits that could be fixed directly, it looks to me more like a melange of bad stuff. Which really suggests a need for general purpose cognitive, energy and neuro-repair enhancers.