Controllable Microfluidic System through Intelligent Framework: Data-Driven Modeling, Machine Learning Energy Analysis, Comparative Multiobjective Optimization, and Experimental Study

Intelligent microfluidics in nanoparticle synthesis embodies a comprehensive synergistic approach that merges numerical modeling, artificial intelligence, and experimental analysis, striving for controllability over an energy-efficient microfluidic device designed for nanoparticle synthesis with des...

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Veröffentlicht in:Industrial & engineering chemistry research 2024-07, Vol.63 (30), p.13326-13344
Hauptverfasser: Kouhkord, Afshin, Hassani, Faridoddin, Amirmahani, Moheb, Golshani, Ali, Naserifar, Naser, Moghanlou, Farhad Sadegh, Beris, Ali Tarlani
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Sprache:eng
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