AI智能体“ElementsClaw”仅用28 GPU小时扫描240万种稳定晶体，筛选出6.8万种潜在超导体，效率远超人类百年摸索，颠覆了传统“炒菜式”试错研究。
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Hypnos-i2-32B是世界首个采用多物理熵（超导体、真空、核衰变）训练的320亿参数语言模型。它通过输入级量子正则化技术，从三个独立的量子熵源中学习真正的量子随机性，使其注意力机制对对抗性扰动具有鲁棒性，并能有效抵抗模式崩溃。
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AtomGPT是一个用于正向和逆向材料设计的原子级生成式预训练Transformer，特别聚焦于超导体候选材料原子结构的生成。
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