Surface-informed active learning prediction of thermophysical properties for liquid refractory multicomponent alloy

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It is worth noting, too, that humans often follow a less rigorous process compared to the clean room rules detailed in this blog post, that is: humans often download the code of different implementations related to what they are trying to accomplish, read them carefully, then try to avoid copying stuff verbatim but often times they take strong inspiration. This is a process that I find perfectly acceptable, but it is important to take in mind what happens in the reality of code written by humans. After all, information technology evolved so fast even thanks to this massive cross pollination effect.

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The story starts with quantum field theory, which is incredibly complex, but the simplified version is that even empty space is filled with fields that could govern the interactions of any quantum objects in or near that space. You can think of different particles as energetic excitements of these fields—so a photon is simply an energetic state of the quantum field.

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