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RESEARCH · CL_05176 · Apr 27 · 04:00

AI simulator learns material properties with parameter-efficient conditioning

Researchers have developed a parameter-efficient conditioning mechanism for graph network-based simulators (GNS) to improve material generalization. By focusing on fine-tuning the initial message-passing layers, the mod…

AI simulator learns material properties with parameter-efficient conditioning