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AI Model CliqueFlowmer Optimizes Material Properties Design

A while ago we figured out that structure enables data-driven design: if we have data of designs + rewards, we can find a design with *higher* reward if we learn a structured function: arxiv.org/abs/2401.05442 In our latest work, @kuba_AI developed a practical model based on this idea that designs materials to optimize target properties. Kuba (@kuba_AI) AI can optimize materials 🀘 Our (@pabbeel, @svlevine, @AIatMeta) proposed transformer model π—–π—Ήπ—Άπ—Ύπ˜‚π—²π—™π—Ήπ—Όπ˜„π—Ίπ—²π—Ώ, combined with π—²π˜ƒπ—Όπ—Ήπ˜‚π˜π—Άπ—Όπ—» strategies, discovers materials that optimize target properties. arxiv.org/abs/2603.06082 β€” https://nitter.net/kuba_AI/status/2033382617442345321#m

β†’ View original post on X β€” @berkeley_ai, 2026-03-21 03:11 UTC

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