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I've been experimenting in this space, where might I find a guide for what to build that would be useful to you? I suspect most existing approaches are an order of magnitude slower and harder to use than they need to be.


I would reject the premise that the field of molecular/biological simulation is underexplored nor that existing approaches are "slower and harder to use than they need to be". This is a field that has been explored, in fact, by the most brilliant minds and the difficulty arises more in theoretical considerations (that is, devising algorithms to faithfully approximate the developed physics) rather than an obvious no-brainer application of AI.

The field of molecular and biological simulation is far more than simply "Newtonian mechanics". There is indeed a field called molecular dynamics (MD) that relies on "classical mechanics" yet it's defined usually in the Lagrangian formalism. Furthermore, there has been tons of work over the past few decades in developing more accurate numerical approximation algorithms. There is a ton of a theory in this field and if you're interested, the "MD Bible" is "Understanding Molecular Simulation" by Daan Frankel.

Now, MD is just the tip of the iceberg. Almost all chemistry simulations are built entirely from making subtle approximations to quantum mechanics and carefully building up frameworks. For example, Hartree-Fock theory (HF), Density Functional Theory (DFT), Couple Cluster theory (CCSD(T)), etc. Then there is a field known colloquially as semi-empirical methods which are a sort of combination of the above two methods. And that's just on the side of chemical simulations (i.e. I'm excluding physics-specific simulations etc).

And now, more recently there has been effort in building machine-learned interatomic potentials, machine-learned density functionals, equivariant graph neural networks, etc etc.

If you're still interested in these class of problems, consider trying to build a good model for OMol25: https://arxiv.org/abs/2505.08762


Did the decades of Oxy which caused this epidemic not count as safe and legal access? I suspect we've tried allowing opiates more than once or twice in the millenia we've been here.


What would you plug this FPGA into? Where will you trade? How much more will you make thanks to the FPGA's lower latency?


Magna Carta: 1215 Boolean logic: 1847


Email your audiologist and ask for your audiogram. Should be straightforward to apply an equalizer to match it, esp if can find an equalizer with db(a? m?) labels


Least equipped to provide? They've been working on machine learning algos for exactly this purpose for twenty years.


The best way to speed up is to practice. Alternative layouts are a waste of time unless you're trying to fix an ergonomic / pain issue, and even then the board itself and your technique and lifestyle are more important. I type faster than any Dvorak user I've met and I did nothing make that happen except be impatient. But typing is basically over with now that Whisper is a single button press away.


I use Dvorak, so I'm asking to maybe make the transition easier LOL.


My m4 macbook had a weird flashing external monitor issue. One that eventually led to my monitor appearing to break. But have no fear, it's a known problem since m1 times and not a priority to fix.


If you read the gnokepitch in the first comment it makes a lot more sense.


You should mention that it offers phone/tablet viewing in the manufacturers pitch, that's awesome over a custom c++ thing. I don't know it they'll care about the bundle size, if you're worried about visual space / where to put it.


Thanks for the review.


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