this post was submitted on 02 Feb 2026
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Automating microfluidic chip design: Hybrid approach combines machine learning with fluid mechanics (phys.org)
submitted 3 weeks ago by rss@news.abolish.capital to c/ecosocial@news.abolish.capital
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Researchers led by Assoc. Prof. Dr. Savaş Taşoğlu from the Department of Mechanical Engineering at Koç University have developed a new, open-access and machine learning-assisted design tool aimed at automating microfluidic chip design. The research is published in Science Advances.

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