中国科学家利用人工智能模型确定了月球背面的化学成分，为月球科学的一个持久谜题提供了新见解。这一发现源于2024年中国历史性的嫦娥六号任务对月球背面的探索。
月球表面近一半——永久背对地球的背面——长期以来在化学成分上未被绘制地图。中国科学家通过人工智能技术，创建了月球主要氧化物的首张高精度全球分布图。
研究人员来自中国科学院下属的上海技术物理研究所（SITP），与上海同济大学及其他中国机构的同行合作。该研究成果于上月发表在同行评审期刊《Nature Sensors》上。
“该研究揭示了南极-艾特肯盆地深层物质的暴露特征以及月球背面地形的成分模式，”SITP在本周的一份声明中表示。
这一工作扩展了来自嫦娥六号任务的见解，该任务于2024年对月球背面进行了历史性探索。关键词包括同济大学、Luna计划、Kaguya、美国阿波罗、月球、南极-艾特肯盆地、中国、上海技术物理研究所、AI、嫦娥六号和中国科学院。
文章发布于2026年3月7日。
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