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Updated: May 13, 2025

Microfluidic-based Synthesis of Covalent Organic Frameworks COFs: A Tool for Continuous Production of COF Fibers and Direct Printing on a Surface
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Microfluidic-based Synthesis of Covalent Organic Frameworks COFs: A Tool for Continuous Production of COF Fibers and Direct Printing on a Surface

Published on: July 10, 2017

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使用机器学习算法和RSM优化CO2吸收到MDEA-PZ-sulfolane混合溶液中

Abolfazl Shokri1, Sepehr Aarabi Dahej2, Ahad Ghaemi3

  • 1School of Chemical, Petroleum and Gas Engineering, Iran University of Science and Technology, Tehran, Iran.

Environmental science and pollution research international
|April 14, 2025
PubMed
概括

机器学习模型准确地预测混合氨基溶液中的二氧化碳 (CO2) 吸收,优于传统方法. 使用遗传算法的优化确定了最大化二氧化碳负载的关键参数.

关键词:
人工神经网络 (ANN) 是一个人工神经网络.吸收二氧化碳的吸收方式MDEA + 皮佩拉津 + 硫烯 + 硫烯机器学习是机器学习.优化优化 优化优化响应表面方法 (RSM)

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