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This paper presents CatDT, a self-evolving multi-agent digital twin that autonomously predicts heterogeneous catalyst properties from bulk crystal and reaction description, achieving experimental accuracy across seven benchmarks and discovering non-precious catalyst candidates for propane dehydrogenation.