Machine-learning potential for silver sulfide: From CHGNet pretraining to DFT-refined phase stability

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Against the Grain→Tools with large market share that Claude Code barely touches, and sharp generational shifts between models.

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He said this research would help establish which method was more clinically effective and more cost effective.