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

· · 来源:xiamen资讯

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"When you go around research labs, or you talk to start-ups, they have really good sensors, and then you ask them how long they work. They say 'six months'. That's great for R&D... but in industry, I want this robot to work for 10 years," he says.

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Accuse the agent of potentially cheating its algorithm implementation while pursuing its optimizations, so tell it to optimize for the similarity of outputs against a known good implementation (e.g. for a regression task, minimize the mean absolute error in predictions between the two approaches)