生成式 AI 与主动学习提升纳米架构材料比刚度
研究提出一种在体素化结构空间中直接搜索的框架，将立方对称单胞编码为连续隐表示，并用代理模型引导的多目标搜索配合主动学习循环，把预测结果反复转化为高保真验证数据。
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推荐理由：用生成式 AI 与主动学习在体素结构空间直接搜索，得到超出预设拓扑族的碳纳米架构，并给出刚度与强度提升幅度。
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机器学习与高通量 最新动态
机器学习在高分子里的进展：高通量筛选与配方优化、结构—性能预测、数据驱动的材料发现与实验自动化。
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