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

· · 来源:dev资讯

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Part of the approach involves developing actuators that output lots of data about their current position and function, so that computers can adjust their operation in real-time. But the hardware also needs to step up, too.

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Additional reporting by Ema Sabljak, BBC England Data Unit