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

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Foundational to this approach is the need to cross from the Unreal C++ boundary into the C# DLL code. This boundary is inherently risky as it lacks much of the standard safety checks we normally rely on in managed code.

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