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Materials scientists are increasingly turning to artificial intelligence to accelerate the discovery of new crystalline materials. A recent study published in Nature Machine Intelligence explores how reinforcement learning can steer generative models toward producing crystal structures with desired properties. Traditional computational approaches to crystal design often rely on exhaustive screening