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Updated: Jun 22, 2025

Author Spotlight: Standardizing the Development of Amine-Based Silica Composites as CO2 Adsorbents for Direct Air Capture
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使用深度学习模型预测CO2在离子液体中的可溶性,用于CO2捕获

Mazhar Ali1, Tooba Sarwar1, Nabisab Mujawar Mubarak2,3

  • 1Department of Chemical Engineering, Dawood University of Engineering & Technology, Karachi, Pakistan.

Scientific reports
|June 26, 2024
PubMed
概括

深度学习模型准确地预测二氧化碳 (CO2) 在离子液体 (ILs) 中的溶解度. 人工神经网络模型为优化二氧化碳捕获技术提供了高效可靠的预测.

关键词:
一个年龄,一个年龄.捕获二氧化碳的方法深度学习是一种深度学习.全球敏感性分析离子液体是一种离子液体.这是LSTM的LSTM.

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