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

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Trained weights via any generic learning algorithm (shows the solution is learnable — encourages creative ideas on data format, tokenization, and curriculum)

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问题是,当 AI 接手这些基础执行工作,短期内利润率确实好看,但代价是新人少了练手的机会,等到五到十年后,市场极度缺乏能够审查 AI 复杂输出、承担最终决策责任的高级人才时,这个代价就会以一种所有人都措手不及的方式显现出来。