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

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Every calculation can be shared as a permanent URL. Click Share Result, get a link like mace-lake.vercel.app/r/gK7tabOE, and anyone can view the full result — 3D viewer, metrics, charts, export options — without logging in. Drawn molecules embed the 2D structure, SMILES, formula, and molecular weight directly in the shared page. Results are stored in Supabase with row-level security: once created, a shared result cannot be modified or deleted.

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