通过数据驱动发现可持续水泥替代品实现净零排放。
Towards net zero by data-driven discovery of sustainable cement alternatives.
作者信息
Evans Jack D
机构信息
School of Physics, Chemistry and Earth Sciences, The University of Adelaide, Adelaide, Australia.
出版信息
Commun Chem. 2025 Jul 24;8(1):213. doi: 10.1038/s42004-025-01608-w.
Abstract
The construction industry faces mounting pressure to reduce its carbon footprint, with cement production alone contributing over 6% of global greenhouse gas emissions. In recent work, machine learning models screened over 14,000 materials from scientific literature and 1 million rock samples, identifying a diverse set of secondary and natural materials that could partially replace global cement production.
摘要
建筑行业面临着越来越大的压力，要减少其碳足迹，仅水泥生产就占全球温室气体排放量的6%以上。在最近的工作中，机器学习模型从科学文献中筛选了14000多种材料以及100万个岩石样本，识别出了一系列不同的二次材料和天然材料，这些材料可以部分替代全球水泥生产。
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