Scalable machine learning models for predicting quantum transport in disordered 2D hexagonal materials

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With that, I built a gigaprompt to ensure Opus 4.5 accounted for both the original Python implementation and a few new ideas I had, such as supersampling to antialias the output.

When we allocate an array, we allocate it out of a bucket.

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