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

· · 来源:tutorial资讯

AI systems, locked in their data-worlds of text or simulated 3D environments, never even come close to this implicit knowledge. Not yet, at least.

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Inside their cleanroom, the team is busy building more modules for future Artemis missions. Each one takes about 18 months to put together but has taken thousands of engineering hours to design. Everything on board has to work perfectly.

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