Prediction of new Ti-N phases using machine learned interatomic potential

· · 来源:user资讯

In the vacuum of space, the amount of debris—spent rocket stages, splintered satellites, micrometeoroids—numbers in the millions, all zooming about, often at 17,000 mph speeds. They’re also constantly hitting each other in a tsuris of exponential littering. Most of these pieces are tiny, and many are not anywhere near the altitude of the ISS. But the area isn’t completely clean.

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第二代 VLA 于去年 11 月发布,主打「可进行脑内推理」的模型能力,能够针对不同场景生成应对策略。此前报道显示,该系统已带来包括小路 NGP 在内的多项能力升级,复杂小路平均接管里程提升约 13 倍。

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