I was reading this over and decided offer what I hope will help explain some of what you are talking about, as well as ask some questions that I had regarding what you all have written.
But first off, a quick disclaimer: I am not an expert on any of this, just someone who ends up spending way too much time on tons of websites learning about random stuff, this included.
I am going to separate my thoughts and comments by the post that brought them up, and I will quote the post to serve as an example.
01010011111's first post
in mathematics there is no exact definition of a circle.
as well as accurate determination of the radius.
I agree with Donuts on this. There is actually an accurate definition of a circle, and of its radius. Are you confusing the fact that π is an irrational number? I do agree that we cannot product a perfect number. But why should we bother worrying about that? Only a few digits of π gets us really close. See How Much Pi Do You Need? from Scientific American
A circle is a lot of a square - where there are 35 thousand angles
A computer might approximate a square that way, but as Donuts said, there is a definition of a circle.
It is a great way to approximate a circle is with a many sided polygon, but 35 thousand might be a bit much. I do 3d modeling as a hobby, and have never really needed to go above maybe 150 sides, though the movie industry might go higher
I want to assume that the stable radii of atoms are also triangular
Why? A computer could handle 15 sides pretty fast, and it is much closer to a circle.
I also made a simple 2D triangle folding simulation. And I related them to round radii that do not affect each other, and interesting images turned out.
I am not 100% sure what you are trying to point out here? Could you elaborate on the triangle a little bit further?
Previously, in the era of optical tubes, scientists saw channels on Mars. But with the creation of an exact technique, these channels turned out to be mirages and optical distortion. as well as all the long-term observed radiation of an atom, can be mirages.
While I agree that our understanding might change, I also agree with donuts that your comparison might not be the best.
Also, what do you mean by the long-term radiation of an atom?
Donuts First Reply
Channels on Mars themselves haven't been proven by Mathematics to be channels on Mars, but shape of the orbits of the electrons of atoms of the periodic table of elements has been proven by Mathematics.
Calling them orbits is not entirely accurate. They do not orbit the way drawings commonly illustrates (almost like planets around a star), but actually exist within a cloud of probability, they exist somewhere within said cloud. This gets into weird quantum mechanics stuff that I cannot really explain as I do not fully understand it myself.
01010011111's second post
Why then can not we create accurate simulators of the physics of atomic and elementary particles?0
Is this a quantum problem? Or are ordinary computers not capable of this?
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Its for a combination of reasons. Part of it is what donuts said. Since this stuff is so small, a lot of them exist in a very small area, which means that it is harder to simulate, just because of how many of them there are.
Additionally, the electron density clouds I mentioned makes it even more complicated. Since the electrons are in a weird probability cloud thing, we cant just drop a few electrons in and call it good, we would have to simulate the probability cloud.
Protein folding is done at different scales by other projects, like Folding@home, which models proteins by atom, instead of by sidechain segment, while DMPfold runs at a similar level as foldit, but uses deep-learning to try to work out how proteins fold.
But foldit does have a different interesting aspect, in that it is not entirely reliant on computers. Instead, humans looking at it add some interesting intuition and pattern recognition that computers don't have, might work out interesting designs that a computer cannot. Furthermore, analysis of designs that humans figure out can be used to make better computer simulations in the future.