Submitted by cyphersanthosh t3_y0ak52 in MachineLearning
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Submitted by cyphersanthosh t3_y0ak52 in MachineLearning
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In science last week
Nice to see something like this, using models to get a sense of the space of problems.
What I'd also like to see though is a process where you optimise data-creation not only for your goal, but for learning, finding locations where the model has a high degree of uncertainty, or simply a high degree of sensitivity, and populating that with experimental blends in order to better train both models.
Also known as active learning.
Very similar to an approach my team is working on for drug and compound discovery in computational biochem.
Wow!
I’ve read in the past the big challenge isn’t in identifying potential new alloys, we’ve had simulations that can do that for a long time.. it’s being able to actually create the material as the process isn’t a simple as just mixing to metals together and melt them.. am I missing something?
Also scaling the production to industrial scale
could you link to the article next time?
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Very Nice!
Had the same idea when watching a video about superalloys
Pretty neat
Not ML per se but have you considered linear programming?
I've Actually thought about this exact thing before but my approach is different from yours Mine was to Source Every Data of Chemistry, Physics, Maths, metallurgy, and Train an AI on this data to find Similarities and underlying properties to create new Alloys, compounds, and allotropes without A particles accelerator and a detailed explanation to why they came to such results lol. So a prompt will be something like.
>Using Copper and Aluminium Create a new Compound with the best Thermal properties and best Tensile strength
So the AI will generate a few Results with Each Metal in their Right proportion to achieve such task
Another will be
>Create a battery chemistry with the best Energy density and fast charging time without sacrificing Mass
You probably did a better job than what I've thought lol
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But if they discovered a new alloy with better properties, it has to atleast have learned something.
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Sounds like you didn’t read the paper.
They achieved 90%accuracy with 5-fold cross validation
coke_and_coffee t1_irqyigi wrote
Very cool! Did they publish the results?