@TimothyDuignan
Tim Duignan
1 month
Good take as always. I don’t think this axis makes sense really though. I would argue a diffusion model is more physics based than a lennard jones forcefield. Harmonic approximation about the minima is in every physics text book but I’ve never seen a 1/r^12 repulsion.
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@biogerontology
Alex Zhavoronkov, PhD (aka Aleksandrs Zavoronkovs)
1 month
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@TimothyDuignan
Tim Duignan
1 month
Learnt from experiment. vs learnt from quantum mechanical data is a sensible axis but it seems now that they’ve trained on the whole PDB that it will need every new source of training data possible to keep improving.
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@CalcCon
Calc Consulting
1 month
@TimothyDuignan As I understand it, the LJ potential worked well for Argon in gas phase as well as hard spheres. More complex systems, not so much.
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@TimothyDuignan
Tim Duignan
1 month
@CalcCon Yeah I think part of the original motivation was you could square the 1/r^6 so it was computationally efficient as well.
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@YigithanGediz
Yiğithan Gediz
1 month
@TimothyDuignan 1/r^12 is a commonly used potential to model gas phase interactions. I presume it can be explained by perturbation theory of dipole interactions but I am not sure.
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@TimothyDuignan
Tim Duignan
1 month
@YigithanGediz Yes apparently Lenard jones just fit it to the noble gas phase data. Also used because it’s computationally cheap. Never seen a derivation
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@flesheatingemu
Bion says, `pip install -U tree_plus`!
1 month
@TimothyDuignan Model-free physics is still physics, just happens to be broken into billions of parameters
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@TimothyDuignan
Tim Duignan
1 month
@CalvinMccarter Yes good point but I would argue MD with LJ doesn’t tell you this either. LJ 1/r^6 parameters don’t agree with first principles c6 coefficients. So it can’t really tell you about the physical causes. It does give more physically plausible trajectories though that’s true.
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