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. MAIAMI aims to establish a paradigm shift in materials science by embedding mechanistic AI agents into physical experimentation cycles—enabling rapid, transparent, and reproducible design of advanced
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embeddings using accessible databases as proof of concept. Analysis of the performance and efficiency of hybrid quantum-classical and quantum-inspired approaches will be done, comparing them to traditional
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