Meta 發佈巨型 AI 化學數據集 OMol25及通用模型 UMA
Meta 近日重磅發佈了其迄今爲止規模最大的 AI 驅動化學開放數據集 OMol25，並同步推出了用於預測分子和材料化學性質的通用人工智能模型 UMA（Universal Atom Model）。這兩項創新成果旨在加速藥物研發、電池材料開發和催化劑研究等關鍵領域。據 Meta 介紹，OMol25數據集包含了超過1億次高精度的分子計算數據，其規模遠超此前任何公開的同類數據集。爲了生成這一龐大的資源，Meta 耗費了超過60億小時的計算時間。OMol25涵蓋了廣泛的分子類型，包括小型有機化合物、生物分子（如蛋白質和 DNA 片
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