The Future of Materials Discovery
Max explains how CuspAI combines physics-informed neural networks, LLM orchestrators, and precise computational tools to search huge materials spaces and guide lab workflows. He cites a Finnish PFAS-removal project spanning 300,000,000,000,000 possible metal organic frameworks, then details the AI Materials Foundry’s role in shared datasets, partner labs, and cautious deployment with safety controls.
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